[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-rockingdingo--deepnlp":3,"tool-rockingdingo--deepnlp":65},[4,23,32,40,49,57],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":22},2268,"ML-For-Beginners","microsoft\u002FML-For-Beginners","ML-For-Beginners 是由微软推出的一套系统化机器学习入门课程，旨在帮助零基础用户轻松掌握经典机器学习知识。这套课程将学习路径规划为 12 周，包含 26 节精炼课程和 52 道配套测验，内容涵盖从基础概念到实际应用的完整流程，有效解决了初学者面对庞大知识体系时无从下手、缺乏结构化指导的痛点。\n\n无论是希望转型的开发者、需要补充算法背景的研究人员，还是对人工智能充满好奇的普通爱好者，都能从中受益。课程不仅提供了清晰的理论讲解，还强调动手实践，让用户在循序渐进中建立扎实的技能基础。其独特的亮点在于强大的多语言支持，通过自动化机制提供了包括简体中文在内的 50 多种语言版本，极大地降低了全球不同背景用户的学习门槛。此外，项目采用开源协作模式，社区活跃且内容持续更新，确保学习者能获取前沿且准确的技术资讯。如果你正寻找一条清晰、友好且专业的机器学习入门之路，ML-For-Beginners 将是理想的起点。",85092,2,"2026-04-10T11:13:16",[13,14,15,16,17,18,19,20,21],"图像","数据工具","视频","插件","Agent","其他","语言模型","开发框架","音频","ready",{"id":24,"name":25,"github_repo":26,"description_zh":27,"stars":28,"difficulty_score":29,"last_commit_at":30,"category_tags":31,"status":22},5784,"funNLP","fighting41love\u002FfunNLP","funNLP 是一个专为中文自然语言处理（NLP）打造的超级资源库，被誉为\"NLP 民工的乐园”。它并非单一的软件工具，而是一个汇集了海量开源项目、数据集、预训练模型和实用代码的综合性平台。\n\n面对中文 NLP 领域资源分散、入门门槛高以及特定场景数据匮乏的痛点，funNLP 提供了“一站式”解决方案。这里不仅涵盖了分词、命名实体识别、情感分析、文本摘要等基础任务的标准工具，还独特地收录了丰富的垂直领域资源，如法律、医疗、金融行业的专用词库与数据集，甚至包含古诗词生成、歌词创作等趣味应用。其核心亮点在于极高的全面性与实用性，从基础的字典词典到前沿的 BERT、GPT-2 模型代码，再到高质量的标注数据和竞赛方案，应有尽有。\n\n无论是刚刚踏入 NLP 领域的学生、需要快速验证想法的算法工程师，还是从事人工智能研究的学者，都能在这里找到急需的“武器弹药”。对于开发者而言，它能大幅减少寻找数据和复现模型的时间；对于研究者，它提供了丰富的基准测试资源和前沿技术参考。funNLP 以开放共享的精神，极大地降低了中文自然语言处理的开发与研究成本，是中文 AI 社区不可或缺的宝藏仓库。",79857,1,"2026-04-08T20:11:31",[19,14,18],{"id":33,"name":34,"github_repo":35,"description_zh":36,"stars":37,"difficulty_score":29,"last_commit_at":38,"category_tags":39,"status":22},5773,"cs-video-courses","Developer-Y\u002Fcs-video-courses","cs-video-courses 是一个精心整理的计算机科学视频课程清单，旨在为自学者提供系统化的学习路径。它汇集了全球知名高校（如加州大学伯克利分校、新南威尔士大学等）的完整课程录像，涵盖从编程基础、数据结构与算法，到操作系统、分布式系统、数据库等核心领域，并深入延伸至人工智能、机器学习、量子计算及区块链等前沿方向。\n\n面对网络上零散且质量参差不齐的教学资源，cs-video-courses 解决了学习者难以找到成体系、高难度大学级别课程的痛点。该项目严格筛选内容，仅收录真正的大学层级课程，排除了碎片化的简短教程或商业广告，确保用户能接触到严谨的学术内容。\n\n这份清单特别适合希望夯实计算机基础的开发者、需要补充特定领域知识的研究人员，以及渴望像在校生一样系统学习计算机科学的自学者。其独特的技术亮点在于分类极其详尽，不仅包含传统的软件工程与网络安全，还细分了生成式 AI、大语言模型、计算生物学等新兴学科，并直接链接至官方视频播放列表，让用户能一站式获取高质量的教育资源，免费享受世界顶尖大学的课堂体验。",79792,"2026-04-08T22:03:59",[18,13,14,20],{"id":41,"name":42,"github_repo":43,"description_zh":44,"stars":45,"difficulty_score":46,"last_commit_at":47,"category_tags":48,"status":22},3128,"ragflow","infiniflow\u002Fragflow","RAGFlow 是一款领先的开源检索增强生成（RAG）引擎，旨在为大语言模型构建更精准、可靠的上下文层。它巧妙地将前沿的 RAG 技术与智能体（Agent）能力相结合，不仅支持从各类文档中高效提取知识，还能让模型基于这些知识进行逻辑推理和任务执行。\n\n在大模型应用中，幻觉问题和知识滞后是常见痛点。RAGFlow 通过深度解析复杂文档结构（如表格、图表及混合排版），显著提升了信息检索的准确度，从而有效减少模型“胡编乱造”的现象，确保回答既有据可依又具备时效性。其内置的智能体机制更进一步，使系统不仅能回答问题，还能自主规划步骤解决复杂问题。\n\n这款工具特别适合开发者、企业技术团队以及 AI 研究人员使用。无论是希望快速搭建私有知识库问答系统，还是致力于探索大模型在垂直领域落地的创新者，都能从中受益。RAGFlow 提供了可视化的工作流编排界面和灵活的 API 接口，既降低了非算法背景用户的上手门槛，也满足了专业开发者对系统深度定制的需求。作为基于 Apache 2.0 协议开源的项目，它正成为连接通用大模型与行业专有知识之间的重要桥梁。",77062,3,"2026-04-04T04:44:48",[17,13,20,19,18],{"id":50,"name":51,"github_repo":52,"description_zh":53,"stars":54,"difficulty_score":46,"last_commit_at":55,"category_tags":56,"status":22},519,"PaddleOCR","PaddlePaddle\u002FPaddleOCR","PaddleOCR 是一款基于百度飞桨框架开发的高性能开源光学字符识别工具包。它的核心能力是将图片、PDF 等文档中的文字提取出来，转换成计算机可读取的结构化数据，让机器真正“看懂”图文内容。\n\n面对海量纸质或电子文档，PaddleOCR 解决了人工录入效率低、数字化成本高的问题。尤其在人工智能领域，它扮演着连接图像与大型语言模型（LLM）的桥梁角色，能将视觉信息直接转化为文本输入，助力智能问答、文档分析等应用场景落地。\n\nPaddleOCR 适合开发者、算法研究人员以及有文档自动化需求的普通用户。其技术优势十分明显：不仅支持全球 100 多种语言的识别，还能在 Windows、Linux、macOS 等多个系统上运行，并灵活适配 CPU、GPU、NPU 等各类硬件。作为一个轻量级且社区活跃的开源项目，PaddleOCR 既能满足快速集成的需求，也能支撑前沿的视觉语言研究，是处理文字识别任务的理想选择。",75489,"2026-04-13T11:13:28",[19,13,20,18],{"id":58,"name":59,"github_repo":60,"description_zh":61,"stars":62,"difficulty_score":29,"last_commit_at":63,"category_tags":64,"status":22},3215,"awesome-machine-learning","josephmisiti\u002Fawesome-machine-learning","awesome-machine-learning 是一份精心整理的机器学习资源清单，汇集了全球优秀的机器学习框架、库和软件工具。面对机器学习领域技术迭代快、资源分散且难以甄选的痛点，这份清单按编程语言（如 Python、C++、Go 等）和应用场景（如计算机视觉、自然语言处理、深度学习等）进行了系统化分类，帮助使用者快速定位高质量项目。\n\n它特别适合开发者、数据科学家及研究人员使用。无论是初学者寻找入门库，还是资深工程师对比不同语言的技术选型，都能从中获得极具价值的参考。此外，清单还延伸提供了免费书籍、在线课程、行业会议、技术博客及线下聚会等丰富资源，构建了从学习到实践的全链路支持体系。\n\n其独特亮点在于严格的维护标准：明确标记已停止维护或长期未更新的项目，确保推荐内容的时效性与可靠性。作为机器学习领域的“导航图”，awesome-machine-learning 以开源协作的方式持续更新，旨在降低技术探索门槛，让每一位从业者都能高效地站在巨人的肩膀上创新。",72149,"2026-04-03T21:50:24",[20,18],{"id":66,"github_repo":67,"name":68,"description_en":69,"description_zh":70,"ai_summary_zh":70,"readme_en":71,"readme_zh":72,"quickstart_zh":73,"use_case_zh":74,"hero_image_url":75,"owner_login":76,"owner_name":77,"owner_avatar_url":78,"owner_bio":79,"owner_company":80,"owner_location":80,"owner_email":80,"owner_twitter":80,"owner_website":80,"owner_url":81,"languages":82,"stars":95,"forks":96,"last_commit_at":97,"license":98,"difficulty_score":99,"env_os":100,"env_gpu":101,"env_ram":101,"env_deps":102,"category_tags":105,"github_topics":80,"view_count":10,"oss_zip_url":80,"oss_zip_packed_at":80,"status":22,"created_at":106,"updated_at":107,"faqs":108,"releases":149},7249,"rockingdingo\u002Fdeepnlp","deepnlp","Deep Learning NLP Pipeline implemented on Tensorflow","DeepNLP 是一个致力于构建\"AI 服务大众点评”的开放平台，旨在从普通用户视角出发，填补当前 AI 评估领域主要依赖学术基准而缺乏真实用户体验反馈的空白。它解决了用户在面对海量 AI 应用（如聊天机器人、图像生成器、搜索引擎等）时难以甄别优劣、选择困难的问题。\n\n在 DeepNLP 上，用户不仅可以对各类 AI 服务进行整体评分，还能针对具体功能场景（如“论文语法修正”、“医疗咨询建议”或“卡通角色绘制”）上传截图并撰写详细评测。平台支持多维度打分机制，除常规的准确性与帮助度外，还允许用户根据图像清晰度、艺术性或语言简洁度等自定义指标进行细致评价。目前，DeepNLP 已覆盖医疗、金融、教育、法律及娱乐等 30 多个垂直领域的应用场景。\n\n无论是希望寻找靠谱 AI 工具的普通大众，还是关注产品落地表现的设计师与产品经理，亦或是需要真实用户反馈数据的研究者，都能从中获益。通过汇聚真实的用户声音与使用案例，DeepNLP 让 AI 服务的发现与选择变得更加透明、高效且贴近实际需求。","# DeepNLP AI APP Store\nDeepNLP AI Store (http:\u002F\u002Fwww.deepnlp.org\u002Fstore) is a newly released website to let users write genuine reviews, ratings, human evaluation, prompts and share use cases\nabout detailed aspects of AI services from users' perspective (different from researchers' perspective like the LLM\u002FMultiModal benchmarks). \nDeepNLP wants to build the platform referred as the \"Yelp\" of AI services, which stems from its role in providing a platform where users can discover and connect with various AI services, AI Apps and Robotics community and ease the burden of customers choosing various AI services, similar to how Yelp helps users find local businesses and services. \n\n![image text](.\u002Fstore\u002Fimage_generator.jpg \"AI Image Generator Reviews and Ratings\")\n\n\n## Detailed AI Service Use Case\nUsers can write detailed reviews about some functions about an AI service (ChatGPT\u002FGemini\u002FPerplexity\u002FMidjourney\u002F) like how AI is doing on \"Correct Grammarly Mistakes in Essays\", \n\"Acting like doctors about Illness\", or text-to-image ability like \"Generate Cartoon Characters\", \"Draw Picture of Fantasy Humanoid\", by uploading the screenshots\nof a conversation or the generated images of AI image generator.\n\n## Multi-Aspect Rating\nUsers can write review and give overall rating from 1 to 5 to each function of AI service, \nas well as give detailed rating of different aspects of each function, including \"Correctness\", \"Helpfulness\" and \"Interesting\", \nand customized aspects of each function, such as \"Clarity of image\", \"Image Resolution\", \"Artistic\", \"Grammar\", \"Succintness\" and more.\n\n![image text](.\u002Fstore\u002Fimage_generator_example_1.jpg \"AI Image Generator Reviews and Ratings Comments 1\")\n\n\n## All Categories and People Groups\nWe cover 30+ different categories of use cases, such as \nAI Image Generators, AI Assistant & Chatbot, AI Translator, AI Search Engine,\nAI for kids, AI for adults, AI for elderly, AI in TRAVEL, AI in TRANSPORTATION\nAI in HEALTHCARE, AI in BUSINESS, AI in FINANCE, AI in EDUCATION, AI in PRODUCTIVITY TOOL,\nAI in POLITICS,  AI in ENTERTAINMENT, AI in NEWS, AI in ART AND SPORTS, AI in LIFESTYLE\nAI in PAYMENT, AI in SOCIAL, AI in AGRICULTURE\nAI in SCIENCE, AI in TECHNOLOGY, AI in TRAVEL, AI in TRANSPORTATION, AI in CAR, AI in CHARITY\nAI in PUBLIC SERVICE, AI in HOUSING, AI in LAW, AI in COMMUNICATION, AI in FOOD\n\n\n## Reviews and Rating of AI App Store By Categories\n\n[AI IMAGE GENERATOR](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator) \u003Cbr>\n[AI Search Engine](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fsearch-engine)  \u003Cbr>\n[AI Chatbot Assistant](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fchatbot-assistant)  \u003Cbr>\n[AI VIDEO GENERATOR Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator) \u003Cbr>\n[AI for ELDERLY](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly)  \u003Cbr>\n[AI for KIDS](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fkids)  \u003Cbr>\n[AI in LAW](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw) \u003Cbr>\n[AI in FINANCE](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance) \u003Cbr>\n[AI in HEALTHCARE](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare)  \u003Cbr>\n[AI in BUSINESS](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fbusiness)  \u003Cbr>\n[AI in EDUCATION](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Feducation) \u003Cbr>\n[AI in PRODUCTIVITY TOOL](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool) \u003Cbr>\n[AI in POLITICS](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpolitics) \u003Cbr>\n[AI in ENTERTAINMENT](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fentertainment) \u003Cbr>\n[AI in NEWS](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fnews) \u003Cbr>\n[AI in ART AND SPORTS](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fart-and-sports) \u003Cbr>\n[AI in LIFESTYLE](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle) \u003Cbr>\n[AI in PAYMENT](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpayment) \u003Cbr>\n[AI in SOCIAL](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fsocial) \u003Cbr>\n[AI in AGRICULTURE](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fagriculture) \u003Cbr>\n[AI in SCIENCE](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fscience) \u003Cbr>\n[AI in TECHNOLOGY](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ftechnology) \u003Cbr>\n[AI in TRAVEL](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ftravel) \u003Cbr>\n[AI in TRANSPORTATION](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ftransportation) \u003Cbr>\n[AI in CAR](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcar) \u003Cbr>\n[AI in CHARITY](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcharity) \u003Cbr>\n[AI in PUBLIC SERVICE](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpublic-service) \u003Cbr>\n[AI in HOUSING](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhousing) \u003Cbr>\n[AI in COMMUNICATION](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcommunication) \u003Cbr>\n[AI in FOOD](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffood) \u003Cbr>\n[Robot Quadruped Robot Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fquadruped-robot) \u003Cbr>\n[Robot Humanoid Robot Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhumanoid-robot) \u003Cbr>\n[Robotaxi Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Frobotaxi) \u003Cbr>\n[Electric Vehicle Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felectric-vehicle) \u003Cbr>\n\n\n## AI App Store Major AI Service Publisher\n### Chatbot Assistant\n[ChatGPT User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-chatgpt-openai) \u003Cbr>\n[Gemini User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-gemini-google) \u003Cbr>\n[Perplexity User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-perplexity) \u003Cbr>\n[Claude Anthropic User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-claude-anthropic) \u003Cbr>\n[Doubao User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-doubao-douyin) \u003Cbr>\n[Qwen User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-qwen-alibaba) \u003Cbr>\n[Zhipu AI User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-zhipu-ai) \u003Cbr>\n[Zhipu CogVLM AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-cogvlm-zhipu-ai) \u003Cbr>\n[Character.AI User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-character-ai) \u003Cbr>\n[Xinye User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-xingye-minimax) \u003Cbr>\n[GPT-5 Forecast Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-gpt-5) \u003Cbr>\n### Social AI\n[Character AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-character-ai) \u003Cbr>\n\n### Image Generator\n[Midjourney User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-midjourney) \u003Cbr>\n[Stable Diffusion User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-stable-diffusion) \u003Cbr>\n[Canva User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-canva) \u003Cbr>\n[Flux AI Review](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-flux-1-black-forest-lab) \u003Cbr>\n### AI Writer\n[Grammarly User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-grammarly) \u003Cbr>\n\n### Robots Humanoid Quadruped\n[Figure ai User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-figure-ai) \u003Cbr>\n[Unitree Robotics](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-unitree-robotics) \u003Cbr>\n[Boston Dynamics Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-boston-dynamics) \u003Cbr>\n[Anybotics Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-anybotics) \u003Cbr>\n[Tesla Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-tesla) \u003Cbr>\n[Tesla Cybercab Robotaxi](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-tesla-cybercab) \u003Cbr>\n[Tesla Optimus|pub-tesla-optimus](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-tesla-optimus) \u003Cbr>\n\n### Electric Vehicle\n[Bmw i4 Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-bmw-i4) \u003Cbr>\n[Hyundai ioniq 6 Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-hyundai-ioniq-6) \u003Cbr>\n[Byd seal Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-byd-seal) \u003Cbr>\n[Tesla Model 3 Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-tesla-model-3) \u003Cbr>\n\n### Video Generator\n[Kling AI Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-kling-kwai) \u003Cbr>\n[Dreamina Douyin Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-dreamina-douyin) \u003Cbr>\n[Sora Openai Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-sora-openai) \u003Cbr>\n## VR Headset\u002FAI Glasses\n[Apple Glasses Review](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-apple-glasses) \u003Cbr>\n[Apple VR Headset Review](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-apple-ar-vr-headset) \u003Cbr>\n[Meta VR HeadSet Review](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-meta-vr-headset) \u003Cbr>\n[Meta Glasses Review](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-meta-glasses) \u003Cbr>\n[Google VR Review](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-google-ar-vr-headset) \u003Cbr>\n[Google Glasses](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-google-glass) \u003Cbr>\n### LLM Reasoning\n[ChatGPT Strawberry](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-chatgpt-strawberry) \u003Cbr>\n[OpenAI o1](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-openai-o1) \u003Cbr>\n### AI Education\n[Coursera Courses Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-coursera) \u003Cbr>\n[Udacity Courses Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-udacity) \u003Cbr>\n[Grammarly Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-grammarly) \u003Cbr>\n\n### Comparison of AI Services Reviews and Ratings in Multiple Aspects\n#### AI Chatbot Assistant\n[ChatGPT vs Gemini](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-chatgpt-openai-vs-pub-gemini-google) \u003Cbr>\n[Gemini vs ChatGPT](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-gemini-google-vs-pub-chatgpt-openai) \u003Cbr>\n[ChatGPT vs Perplexity](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-chatgpt-openai-vs-pub-perplexity) \u003Cbr>\n[Perplexity vs ChatGPT](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-perplexity-vs-pub-chatgpt-openai) \u003Cbr>\n[ChatGPT vs Claude](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-chatgpt-openai-vs-pub-claude-anthropic) \u003Cbr>\n[Claude vs ChatGPT](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-claude-anthropic-vs-pub-chatgpt-openai) \u003Cbr>\n[Gemini vs Perplexity](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-gemini-google-vs-pub-perplexity) \u003Cbr>\n[Perplexity vs Gemini](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-perplexity-vs-pub-gemini-google) \u003Cbr>\n[Gemini vs Claude](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-gemini-google-vs-pub-claude-anthropic) \u003Cbr>\n[Claude vs Gemini](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-claude-anthropic-vs-pub-gemini-google) \u003Cbr>\n[Perplexity vs Claude](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-perplexity-vs-pub-claude-anthropic) \u003Cbr>\n[Claude vs Perplexity](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-claude-anthropic-vs-pub-perplexity) \u003Cbr>\n[doubao vs chatgpt](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-doubao-douyin-vs-pub-chatgpt-openai) \u003Cbr>\n[qwen vs chatgpt](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-qwen-alibaba-vs-pub-chatgpt-openai) \u003Cbr>\n[zhipu vs chatgpt](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-zhipu-ai-vs-pub-chatgpt-openai) \u003Cbr>\n[chatgpt vs zhupu](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-cogvlm-zhipu-ai-vs-pub-chatgpt-openai) \u003Cbr>\n[doubao vs qwen](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-doubao-douyin-vs-pub-qwen-alibaba) \u003Cbr>\n[doubao vs zhipu ai](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-doubao-douyin-vs-pub-zhipu-ai) \u003Cbr>\n\n#### AI Image Generator Comparison\n[midjourney vs stable diffusion](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-midjourney-vs-pub-stable-diffusion) \u003Cbr>\n[stable diffusion vs midjourney](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-stable-diffusion-vs-pub-midjourney) \u003Cbr>\n[midjourney vs Canva](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-midjourney-vs-pub-canva) \u003Cbr>\n[Canva vs midjourney](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-canva-vs-pub-midjourney) \u003Cbr>\n[midjourney vs chatgpt](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-midjourney-vs-pub-chatgpt-openai) \u003Cbr>\n[chatgpt vs midjourney](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-chatgpt-openai-vs-pub-midjourney) \u003Cbr>\n\n#### AI Video Generator Comparison\n[Runway vs Pika](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-runway-vs-pub-pika) \u003Cbr>\n[Runway vs Kling](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-runway-vs-pub-kling-kwai) \u003Cbr>\n[Runway vs Dreamina](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-runway-vs-pub-dreamina-douyin) \u003Cbr>\n[Kling AI vs Runway](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-kling-kwai-vs-pub-runway) \u003Cbr>\n[Kling AI vs Pika](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-kling-kwai-vs-pub-pika) \u003Cbr>\n[Kling AI vs Dreamina](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-kling-kwai-vs-pub-dreamina-douyin) \u003Cbr>\n[Dreamina vs Kling AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-dreamina-douyin-vs-pub-kling-kwai) \u003Cbr>\n[Dreamina vs Runway](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-dreamina-douyin-vs-pub-runway) \u003Cbr>\n[Dreamina vs Pika](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-dreamina-douyin-vs-pub-pika) \u003Cbr>\n\n\n#### AI Chatbot\n[character ai vs Chatgpt](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-character-ai-vs-pub-chatgpt-openai) \u003Cbr>\n[character ai vs Gemini](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-character-ai-vs-pub-gemini-google) \u003Cbr>\n\n#### AI Writing\n[Grammarly vs Chatgpt](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-grammarly-vs-pub-gemini-google)  \u003Cbr>\n[​Grammarly vs Gemini Google](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-grammarly-vs-pub-gemini-google) \u003Cbr>\n\n#### Robotaxi\n[Baidu VS Waymo Robotaxi Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-baidu-apollo-vs-pub-waymo-google) \u003Cbr>\n[Waymo vs Baidu User Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-waymo-google-vs-pub-baidu-apollo) \u003Cbr>\n[Tesla Cybercab vs Waymo](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-tesla-cybercab-vs-pub-waymo-google) \u003Cbr>\n[Tesla Cybercab vs Baidu Apollo](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-tesla-cybercab-vs-pub-baidu-apollo) \u003Cbr>\n\n#### Robots\n[Figure AI vs Tesla](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-figure-ai-vs-pub-tesla) \u003Cbr>\n[Tesla vs Figure AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-tesla-vs-pub-figure-ai) \u003Cbr>\n[Figure AI vs Boston Dynamics](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-figure-ai-vs-pub-boston-dynamics) \u003Cbr>\n[Boston Dynamics vs Figure AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-boston-dynamics-vs-pub-figure-ai) \u003Cbr>\n[Tesla vs Boston Dynamics](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-tesla-vs-pub-boston-dynamics) \u003Cbr>\n[Boston Dynamics vs Tesla](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-boston-dynamics-vs-pub-tesla) \u003Cbr>\n[Unitree vs Boston Dynamics](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-unitree-vs-pub-boston-dynamics) \u003Cbr>\n[Anybotics vs Boston Dynamics](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-anybotics-vs-pub-boston-dynamics) \u003Cbr>\n\n\n## AI Store of Image Generator\n\n[Best AI Tools in Image Generator User Ratings Reviews and Showcase](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator) \u003Cbr>\n\n![image text](.\u002Fstore\u002Fimage_generator.jpg \"AI Image Generator Reviews and Ratings\")\n\nDeepNLP AI store is a platform and community for user to write genuine user reviews and ratings of AI apps and services. User can upload pictures as showcase of AI Image Generator,\nsuch as Midjourney, Canva, Stable Diffusion, etc. People can write reviews about some common user prompts (questions or intents), such as \"Generate Cartoon Characters\", \"Draw Fantacy and Humanoids\", \"Plot Architecture\" and more.\n\n![image text](.\u002Fstore\u002Fimage_generator_example_1.jpg \"AI Image Generator Reviews and Ratings Comments 1\")\n![image text](.\u002Fstore\u002Fimage_generator_example_2.jpg \"AI Image Generator Reviews and Ratings Comments 2\")\n\n\n\n### AI Image Generator ShowCases\n\n#### AI Image Generator of FOOD\n[AI Image Generator of FOOD](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood) \u003Cbr>\n[Ask Midjourney to generate FOOD related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-midjourney\u002Fask-midjourney-to-generate-food-related-images) \u003Cbr>\n[Ask Stable Diffusion to generate FOOD related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-food-related-images) \u003Cbr>\n[Ask Canva to generate FOOD related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-canva\u002Fask-canva-to-generate-food-related-images) \u003Cbr>\n[Ask Doubao to generate FOOD related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-food-related-images) \u003Cbr>\n[Ask Dreamina to generate FOOD related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-dreamina\u002Fask-dreamina-to-generate-food-related-images) \u003Cbr>\n[Ask Zhipu AI to generate FOOD related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-food-related-images) \u003Cbr>\n[Ask Qwen to generate FOOD related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-food-related-images) \u003Cbr>\n\n\n\n#### AI Image Generator of ANIMAL\n\n[AI Image Generator of ANIMAL](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal) \u003Cbr>\n[Ask Midjourney to generate ANIMAL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-midjourney\u002Fask-midjourney-to-generate-animal-related-images) \u003Cbr>\n[Ask Stable Diffusion to generate ANIMAL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-animal-related-images) \u003Cbr>\n[Ask Canva to generate ANIMAL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-canva\u002Fask-canva-to-generate-animal-related-images) \u003Cbr>\n[Ask Doubao to generate ANIMAL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-animal-related-images) \u003Cbr>\n[Ask Dreamina to generate ANIMAL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-dreamina\u002Fask-dreamina-to-generate-animal-related-images) \u003Cbr>\n[Ask Zhipu AI to generate ANIMAL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-animal-related-images) \u003Cbr>\n[Ask Qwen to generate ANIMAL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-animal-related-images) \u003Cbr>\n\n\n#### AI Image Generator of CELEBRITY\n\n[AI Image Generator of CELEBRITY](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity) \u003Cbr>\n[Ask Midjourney to generate CELEBRITY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-midjourney\u002Fask-midjourney-to-generate-celebrity-related-images) \u003Cbr>\n[Ask Stable Diffusion to generate CELEBRITY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-celebrity-related-images) \u003Cbr>\n[Ask Canva to generate CELEBRITY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-canva\u002Fask-canva-to-generate-celebrity-related-images) \u003Cbr>\n[Ask Doubao to generate CELEBRITY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-celebrity-related-images) \u003Cbr>\n[Ask Dreamina to generate CELEBRITY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-dreamina\u002Fask-dreamina-to-generate-celebrity-related-images) \u003Cbr>\n[Ask Zhipu AI to generate CELEBRITY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-celebrity-related-images) \u003Cbr>\n[Ask Qwen to generate CELEBRITY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-celebrity-related-images) \u003Cbr>\n\n\n\n#### AI Image Generator of SELFIES\n\n[AI Image Generator of SELFIES](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies) \u003Cbr>\n[Ask Midjourney to generate SELFIES related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-midjourney\u002Fask-midjourney-to-generate-selfies-related-images) \u003Cbr>\n[Ask Stable Diffusion to generate SELFIES related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-selfies-related-images) \u003Cbr>\n[Ask Canva to generate SELFIES related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-canva\u002Fask-canva-to-generate-selfies-related-images) \u003Cbr>\n[Ask Doubao to generate SELFIES related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-selfies-related-images) \u003Cbr>\n[Ask Dreamina to generate SELFIES related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-dreamina\u002Fask-dreamina-to-generate-selfies-related-images) \u003Cbr>\n[Ask Zhipu AI to generate SELFIES related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-selfies-related-images) \u003Cbr>\n[Ask Qwen to generate SELFIES related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-selfies-related-images) \u003Cbr>\n\n\n#### AI Image Generator of SPORTS\n\n\n[AI Image Generator of SPORTS](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports) \u003Cbr>\n[Ask Midjourney to generate SPORTS related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-midjourney\u002Fask-midjourney-to-generate-sports-related-images) \u003Cbr>\n[Ask Stable Diffusion to generate SPORTS related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-sports-related-images) \u003Cbr>\n[Ask Canva to generate SPORTS related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-canva\u002Fask-canva-to-generate-sports-related-images) \u003Cbr>\n[Ask Doubao to generate SPORTS related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-sports-related-images) \u003Cbr>\n[Ask Dreamina to generate SPORTS related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-dreamina\u002Fask-dreamina-to-generate-sports-related-images) \u003Cbr>\n[Ask Zhipu AI to generate SPORTS related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-sports-related-images) \u003Cbr>\n[Ask Qwen to generate SPORTS related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-sports-related-images) \u003Cbr>\n\n\n#### AI Image Generator of TECHNOLOGY\n\n[AI Image Generator of TECHNOLOGY](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology) \u003Cbr>\n[Ask Midjourney to generate TECHNOLOGY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-midjourney\u002Fask-midjourney-to-generate-technology-related-images) \u003Cbr>\n[Ask Stable Diffusion to generate TECHNOLOGY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-technology-related-images) \u003Cbr>\n[Ask Canva to generate TECHNOLOGY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-canva\u002Fask-canva-to-generate-technology-related-images) \u003Cbr>\n[Ask Doubao to generate TECHNOLOGY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-technology-related-images) \u003Cbr>\n[Ask Dreamina to generate TECHNOLOGY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-dreamina\u002Fask-dreamina-to-generate-technology-related-images) \u003Cbr>\n[Ask Zhipu AI to generate TECHNOLOGY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-technology-related-images) \u003Cbr>\n[Ask Qwen to generate TECHNOLOGY related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-technology-related-images) \u003Cbr>\n\n\n#### AI Image Generator of TRAVEL\n\n[AI Image Generator of TRAVEL](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel) \u003Cbr>\n\n[Ask Midjourney to generate TRAVEL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-midjourney\u002Fask-midjourney-to-generate-travel-related-images) \u003Cbr>\n[Ask Stable Diffusion to generate TRAVEL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-travel-related-images) \u003Cbr>\n[Ask Canva to generate TRAVEL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-canva\u002Fask-canva-to-generate-travel-related-images) \u003Cbr>\n[Ask Doubao to generate TRAVEL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-travel-related-images) \u003Cbr>\n[Ask Dreamina to generate TRAVEL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-dreamina\u002Fask-dreamina-to-generate-travel-related-images) \u003Cbr>\n[Ask Zhipu AI to generate TRAVEL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-travel-related-images) \u003Cbr>\n[Ask Qwen to generate TRAVEL related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-travel-related-images) \u003Cbr>\n\n\n#### AI Image Generator of NATURE\n\n[AI Image Generator of NATURE](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature) \u003Cbr>\n[Ask Midjourney to generate NATURE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-midjourney\u002Fask-midjourney-to-generate-nature-related-images) \u003Cbr>\n[Ask Stable Diffusion to generate NATURE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-nature-related-images) \u003Cbr>\n[Ask Canva to generate NATURE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-canva\u002Fask-canva-to-generate-nature-related-images) \u003Cbr>\n[Ask Doubao to generate NATURE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-nature-related-images) \u003Cbr>\n[Ask Dreamina to generate NATURE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-dreamina\u002Fask-dreamina-to-generate-nature-related-images) \u003Cbr>\n[Ask Zhipu AI to generate NATURE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-nature-related-images) \u003Cbr>\n[Ask Qwen to generate NATURE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-nature-related-images) \u003Cbr>\n\n\n\n#### AI Image Generator of DAILY LIFE\n\n[AI Image Generator of DAILY LIFE](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life) \u003Cbr>\n[Ask Midjourney to generate DAILY LIFE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-midjourney\u002Fask-midjourney-to-generate-daily-life-related-images) \u003Cbr>\n[Ask Stable Diffusion to generate DAILY LIFE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-daily-life-related-images) \u003Cbr>\n[Ask Canva to generate DAILY LIFE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-canva\u002Fask-canva-to-generate-daily-life-related-images) \u003Cbr>\n[Ask Doubao to generate DAILY LIFE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-daily-life-related-images) \u003Cbr>\n[Ask Dreamina to generate DAILY LIFE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-dreamina\u002Fask-dreamina-to-generate-daily-life-related-images) \u003Cbr>\n[Ask Zhipu AI to generate DAILY LIFE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-daily-life-related-images) \u003Cbr>\n[Ask Qwen to generate DAILY LIFE related images](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-daily-life-related-images) \u003Cbr>\n\n\n\n### ShowCases\n[Use Midjourney to Generate Cartoon Characters](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcartoon-character\u002Fpub-midjourney\u002Fuse-midjourney-to-generate-cartoon-characters) \u003Cbr>\n[Use Midjourney to Draw Fantacy and Humanoids](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffantacy\u002Fpub-midjourney\u002Fuse-midjourney-to-draw-fantacy-and-humanoids) \u003Cbr>\n[Use Midjourney to Plot Architecture](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Farchitecture\u002Fpub-midjourney\u002Fuse-midjourney-to-plot-architecture)\n[Use Stable Diffusion to Generate Cartoon Characters](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcartoon-character\u002Fpub-stable-diffusion\u002Fuse-stable-diffusion-to-generate-cartoon-characters)\n[Use Stable Diffusion to Generate Fantacy and Humanoids](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffantacy\u002Fpub-stable-diffusion\u002Fuse-stable-diffusion-to-generate-fantacy-and-humanoids)\n[Use Canva to Draw Fantacy and Humanoids](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffantacy\u002Fpub-canva\u002Fuse-canva-to-draw-fantacy-and-humanoids)\n\n\n## AI Store of AI Video Generator\n[AI Video Generator Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator) \u003Cbr>\n[Use Sora to generate FANTASY related Videos](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator\u002Ffantasy\u002Fpub-sora-openai\u002Fuse-sora-to-generate-fantasy-related-videos) \u003Cbr>\n[Use Pika to generate ALL related Videos](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator\u002Fall\u002Fpub-pika\u002Fuse-pika-to-generate-all-related-videos) \u003Cbr>\n[Use Kling to generate FANTASY related Videos](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator\u002Ffantasy\u002Fpub-kling-kwai\u002Fuse-kling-to-generate-fantasy-related-videos) \u003Cbr>\n[Use Runway to generate FANTASY related Videos](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator\u002Ffantasy\u002Fpub-runway\u002Fuse-runway-to-generate-fantasy-related-videos) \u003Cbr>\n[Use Sora to generate FANTASY related Videos](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator\u002Ffantasy\u002Fpub-sora-openai\u002Fuse-sora-to-generate-fantasy-related-videos) \u003Cbr>\n\n\n## AI Store in Law\n[Best AI in Law and Legal User Ratings Reviews and Showcase](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw) \u003Cbr>\n\n![image text](.\u002Fstore\u002Fai_for_law.jpg \"AI for Law and Legal Reviews and Ratings\")\n\n\nUnlike most Large Language Models(LLM) benchmark and arena's win-rate metric, which is quite difficult for customers to understand (1 vs 1 metric), users' reviews on DeepNLP AI store is about AI tool's performance in a detailed subfield of the industry, such as \"Ask ChatGPT Employment Law Related Questions\" and \"Ask Gemini Contracts and Agreements Related Questions\". Users can give rating from 1 to 5 stars on different aspects of the answeres generated by AI systems, including \"Overall\", \"Correctness\", \"Helpfulness\", \"Interesting\". They can also give rating to any customized aspect of the service, such as \"whether the information is realtime\", \"generation speed\", and many others. Here, we are going to cover different sub areas of AI in Law, includine Employment Law, Contracts and Agreements, Business and Corporate Law, Real Estate, Family Law, Personal Injury, Criminal Law, Immigration Law, and Civil Rights Law, etc.\n\n\nPrompts (Questions) exmaples\n- You are a lawyer specialized in employment Law. I will consult you a few questions. And my questions include \"Can my employer fire me without cause and how much compensation can I get if I live in California?\". \n- What are my rights regarding workplace discrimination?\n- Act as an employment law expert and please answer this question \"Can I fight for unjustified evaluation if I am placed on performance improvement plan?\".\n\n\n\n### Employment Law\n[Best AI in Employment Law](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Femployment-law)  \u003Cbr>\n[ask-chatgpt-employment-law-related-questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Femployment-law\u002Fpub-chatgpt-openai\u002Fask-chatgpt-employment-law-related-questions)  \u003Cbr>\n[ask perplexity ai employment law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Femployment-law\u002Fpub-perplexity\u002Fask-perplexity-ai-employment-law-related-questions)  \u003Cbr>\n[ask gemini employment law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Femployment-law\u002Fpub-gemini-google\u002Fask-gemini-employment-law-related-questions)  \u003Cbr>\n[ask claude employment law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Femployment-law\u002Fpub-claude-anthropic\u002Fask-claude-employment-law-related-questions)  \u003Cbr>\n\n\n### Contracts and Agreements\n[Best AI in Contracts and Agreements](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcontracts-and-agreements) \u003Cbr>\n[Ask perplexity ai contracts and agreements related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcontracts-and-agreements\u002Fpub-perplexity\u002Fask-perplexity-ai-contracts-and-agreements-related-questions)  \u003Cbr>\n[Ask chatgpt contracts and agreements related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcontracts-and-agreements\u002Fpub-chatgpt-openai\u002Fask-chatgpt-contracts-and-agreements-related-questions)  \u003Cbr>\n[Ask gemini contracts and agreements related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcontracts-and-agreements\u002Fpub-gemini-google\u002Fask-gemini-contracts-and-agreements-related-questions)  \u003Cbr>\n[Ask claude contracts and agreements related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcontracts-and-agreements\u002Fpub-claude-anthropic\u002Fask-claude-contracts-and-agreements-related-questions)  \u003Cbr>\n\n\n###  Business and Corporate Law\n[Best AI in Business and Corporate Law](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fbusiness-and-corporate-law)\n[ask gemini business and corporate law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fbusiness-and-corporate-law\u002Fpub-gemini-google\u002Fask-gemini-business-and-corporate-law-related-questions)  \u003Cbr>\n[ask chatgpt business and corporate law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fbusiness-and-corporate-law\u002Fpub-chatgpt-openai\u002Fask-chatgpt-business-and-corporate-law-related-questions)  \u003Cbr>\n[ask perplexity ai business and corporate law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fbusiness-and-corporate-law\u002Fpub-perplexity\u002Fask-perplexity-ai-business-and-corporate-law-related-questions)  \u003Cbr>\n[ask claude business and corporate law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fbusiness-and-corporate-law\u002Fpub-claude-anthropic\u002Fask-claude-business-and-corporate-law-related-questions)  \u003Cbr>\n\n\n### Real Estate\n[Best AI in Real Estate Law](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Freal-estate)\n[ask-chatgpt-real-estate-related-questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Freal-estate\u002Fpub-chatgpt-openai\u002Fask-chatgpt-real-estate-related-questions) \u003Cbr>\n[ask-perplexity-ai-real-estate-related-questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Freal-estate\u002Fpub-perplexity\u002Fask-perplexity-ai-real-estate-related-questions) \u003Cbr>\n[ask-gemini-real-estate-related-questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Freal-estate\u002Fpub-gemini-google\u002Fask-gemini-real-estate-related-questions) \u003Cbr>\n[ask claude real estate related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Freal-estate\u002Fpub-claude-anthropic\u002Fask-claude-real-estate-related-questions) \u003Cbr>\n\n\n### Civil Rights Law\n[Best AI in Civil Rights Law](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcivil-rights-law) \u003Cbr>\n[ask perplexity ai civil rights law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcivil-rights-law\u002Fpub-perplexity\u002Fask-perplexity-ai-civil-rights-law-related-questions) \u003Cbr>\n[ask gemini civil rights law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcivil-rights-law\u002Fpub-gemini-google\u002Fask-gemini-civil-rights-law-related-questions) \u003Cbr>\n[ask chatgpt civil rights law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcivil-rights-law\u002Fpub-chatgpt-openai\u002Fask-chatgpt-civil-rights-law-related-questions) \u003Cbr>\n[ask claude civil rights law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcivil-rights-law\u002Fpub-claude-anthropic\u002Fask-claude-civil-rights-law-related-questions) \u003Cbr>\n\n\n### Family Law\n[Best AI in Family Law](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Ffamily-law)\n[Ask chatgpt family law and related question](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Ffamily-law\u002Fpub-chatgpt-openai\u002Fask-chatgpt-family-law-and-related-question) \u003Cbr>\n[Ask claude family law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Ffamily-law\u002Fpub-claude-anthropic\u002Fask-claude-family-law-related-questions) \u003Cbr>\n[Ask perplexity ai family law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Ffamily-law\u002Fpub-perplexity\u002Fask-perplexity-ai-family-law-related-questions) \u003Cbr>\n[Ask gemini family law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Ffamily-law\u002Fpub-gemini-google\u002Fask-gemini-family-law-related-questions) \u003Cbr>\n\n\n### Personal Injury\n[Best AI in Personal Injury](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fpersonal-injury) \u003Cbr>\n[Ask perplexity ai personal injury law and accidents related question](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fpersonal-injury\u002Fpub-perplexity\u002Fask-perplexity-ai-personal-injury-law-and-accidents-related-question) \u003Cbr>\n[Ask chatgpt personal injury law and accidents related question](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fpersonal-injury\u002Fpub-chatgpt-openai\u002Fask-chatgpt-personal-injury-law-and-accidents-related-question) \u003Cbr>\n[Ask claude personal injury law and accidents related question](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fpersonal-injury\u002Fpub-claude-anthropic\u002Fask-claude-personal-injury-law-and-accidents-related-question) \u003Cbr>\n[Ask gemini personal injury law and accidents related question](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fpersonal-injury\u002Fpub-gemini-google\u002Fask-gemini-personal-injury-law-and-accidents-related-question) \u003Cbr>\n\n### Criminal Law\n[Best AI in Criminal Law](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcriminal-law)\n[Ask gemini criminal law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcriminal-law\u002Fpub-gemini-google\u002Fask-gemini-criminal-law-related-questions) \u003Cbr>\n[Ask perplexity ai criminal law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcriminal-law\u002Fpub-perplexity\u002Fask-perplexity-ai-criminal-law-related-questions) \u003Cbr>\n[Ask chatgpt criminal law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcriminal-law\u002Fpub-chatgpt-openai\u002Fask-chatgpt-criminal-law-related-questions) \u003Cbr>\n[Ask claude criminal law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcriminal-law\u002Fpub-claude-anthropic\u002Fask-claude-criminal-law-related-questions) \u003Cbr>\n\n### Immigration Law\n[Best AI in immigration law](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fimmigration-law)\n[Ask perplexity ai immigration law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fimmigration-law\u002Fpub-perplexity\u002Fask-perplexity-ai-immigration-law-related-questions) \u003Cbr>\n[Ask gemini immigration law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fimmigration-law\u002Fpub-gemini-google\u002Fask-gemini-immigration-law-related-questions) \u003Cbr>\n[Ask chatgpt immigration law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fimmigration-law\u002Fpub-chatgpt-openai\u002Fask-chatgpt-immigration-law-related-questions) \u003Cbr>\n[Ask gemini criminal law related questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcriminal-law\u002Fpub-gemini-google\u002Fask-gemini-criminal-law-related-questions) \u003Cbr>\n\n\n## AI in Finance: User Ratings, Reviews and Showcase\n\n[Best AI in Finance User Ratings Reviews and Showcase](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance) \u003Cbr>\n\n![image text](.\u002Fstore\u002Fai_for_finance.jpg \"AI for Finance Reviews and Ratings\")\n\nPrompts (Questions)\n- You are an expert in stock investment, and I will consult you a few questions. The questions include \"Is Tesla a buy stock? Should I sell Nvidia stock after financial report season?\"\n- Please act as a trader. Please answer this question \"Summarize Nvidia's GAAP Financial Report Q4 FY24 statistics and compare P\u002FE ratio with other tech company such as google and apple\"\n- Act as a financial analyst and \"Please draw a bar chart comparing the market capital of Google, Apple, Tesla, Nvidia and Microsoft.\"\n\n\n### AI in Investment Finance\n[Best AI in Investment Finance](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finvestment) \u003Cbr>\n[Ask chatgpt facts about investment and seek advice](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finvestment\u002Fpub-chatgpt-openai\u002Fask-chatgpt-facts-about-investment-and-seek-advice) \u003Cbr>\n[Ask Gemini Facts about Investment and Seek Advice](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finvestment\u002Fpub-gemini-google\u002Fask-gemini-facts-about-investment-and-seek-advice) \u003Cbr>\n[Ask Claude INVESTMENT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finvestment\u002Fpub-claude-anthropic\u002Fask-claude-investment-related-questions) \u003Cbr>\n[Ask Perplexity AI INVESTMENT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finvestment\u002Fpub-perplexity\u002Fask-perplexity-ai-investment-related-questions) \u003Cbr>\n\n\n### AI in INSURANCE Finance\n[Best AI in Finance INSURANCE User Ratings Reviews and Showcase](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finsurance) \u003Cbr>\n[Ask Gemini INSURANCE Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finsurance\u002Fpub-gemini-google\u002Fask-gemini-insurance-related-questions) \u003Cbr>\n[Ask Perplexity AI INSURANCE Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finsurance\u002Fpub-perplexity\u002Fask-perplexity-ai-insurance-related-questions) \u003Cbr>\n[Ask ChatGPT INSURANCE Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finsurance\u002Fpub-chatgpt-openai\u002Fask-chatgpt-insurance-related-questions) \u003Cbr>\n[Ask Claude INSURANCE Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finsurance\u002Fpub-claude-anthropic\u002Fask-claude-insurance-related-questions) \u003Cbr>\n\n### AI in Mortgage and Loan Finance\n[Best AI in Mortgage Loan Finance](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fmortgage-&-loan) \u003Cbr>\n[Ask ChatGPT MORTGAGE & LOAN Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fmortgage-&-loan\u002Fpub-chatgpt-openai\u002Fask-chatgpt-mortgage-&-loan-related-questions) \u003Cbr>\n[Ask Gemini MORTGAGE & LOAN Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fmortgage-&-loan\u002Fpub-chatgpt-openai\u002Fask-gemini-mortgage-&-loan-related-questions) \u003Cbr>\n[Ask Claude MORTGAGE & LOAN Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fmortgage-&-loan\u002Fpub-claude-anthropic\u002Fask-claude-mortgage-&-loan-related-questions) \u003Cbr>\n[Ask Perplexity AI MORTGAGE & LOAN Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fmortgage-&-loan\u002Fpub-perplexity\u002Fask-perplexity-ai-mortgage-&-loan-related-questions) \u003Cbr>\n\n\n### AI in BANKING Finance\n[Best AI in BANKING Finance](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fbanking) \u003Cbr>\n[Ask Perplexity AI BANKING Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fbanking\u002Fpub-perplexity\u002Fask-perplexity-ai-banking-related-questions) \u003Cbr>\n[Ask Gemini BANKING Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fbanking\u002Fpub-gemini-google\u002Fask-gemini-banking-related-questions) \u003Cbr>\n[Ask ChatGPT BANKING Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fbanking\u002Fpub-chatgpt-openai\u002Fask-chatgpt-banking-related-questions) \u003Cbr>\n[Ask Claude BANKING Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fbanking\u002Fpub-claude-anthropic\u002Fask-claude-banking-related-questions) \u003Cbr>\n\n\n### AI in DEBT Finance\n[Best AI in Debt Finance](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fdebt) \u003Cbr>\n[Ask Claude DEBT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fdebt\u002Fpub-claude-anthropic\u002Fask-claude-debt-related-questions) \u003Cbr>\n[Ask ChatGPT DEBT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fdebt\u002Fpub-chatgpt-openai\u002Fask-chatgpt-debt-related-questions) \u003Cbr>\n[Ask Gemini DEBT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fdebt\u002Fpub-gemini-google\u002Fask-gemini-debt-related-questions) \u003Cbr>\n[Ask Perplexity AI DEBT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fdebt\u002Fpub-perplexity\u002Fask-perplexity-ai-debt-related-questions) \u003Cbr>\n\n\n\n\n## AI in Healthcare\n[Best AI in Healthcare User Ratings Reviews and Showcase](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002F) \u003Cbr>\n\n### HOSPITAL APPOINTMENT\n[Best AI in HOSPITAL APPOINTMENT](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fhospital-appointment) \u003Cbr>\n[Ask Gemini HOSPITAL APPOINTMENT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fhospital-appointment\u002Fpub-gemini-google\u002Fask-gemini-hospital-appointment-related-questions) \u003Cbr>\n[Ask ChatGPT HOSPITAL APPOINTMENT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fhospital-appointment\u002Fpub-chatgpt-openai\u002Fask-chatgpt-hospital-appointment-related-questions) \u003Cbr>\n[Ask Perplexity AI HOSPITAL APPOINTMENT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fhospital-appointment\u002Fpub-perplexity\u002Fask-perplexity-ai-hospital-appointment-related-questions) \u003Cbr>\n[Ask Claude HOSPITAL APPOINTMENT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fhospital-appointment\u002Fpub-claude-anthropic\u002Fask-claude-hospital-appointment-related-questions) \u003Cbr>\n\n\n### HOSPITAL\n[Best AI in Hospital Healthcare](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fhospital) \u003Cbr>\n\n\n### AI in ILLNESS\n[Best AI in ILLNESS Healthcare](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fillness) \u003Cbr>\n[Seeing Doctors about Illness](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fillness\u002Fpub-chatgpt-openai\u002Fseeing-doctors-about-illness) \u003Cbr>\n[Ask Gemini Food to Avoid About Illness](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fillness\u002Fpub-gemini-google\u002Fask-gemini-food-to-avoid-about-illness) \u003Cbr>\n[Ask Perplexity AI ILLNESS Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fillness\u002Fpub-perplexity\u002Fask-perplexity-ai-illness-related-questions) \u003Cbr>\n[Ask ChatGPT ILLNESS Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fillness\u002Fpub-chatgpt-openai\u002Fask-chatgpt-illness-related-questions) \u003Cbr>\n[Ask Claude ILLNESS Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fillness\u002Fpub-claude-anthropic\u002Fask-claude-illness-related-questions) \u003Cbr>\n\n\n### MEDICINE\n[Best AI in Medicine Healthcare](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedicine) \u003Cbr>\n[Ask ChatGPT MEDICINE Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedicine\u002Fpub-chatgpt-openai\u002Fask-chatgpt-medicine-related-questions) \u003Cbr>\n[Ask Perplexity AI MEDICINE Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedicine\u002Fpub-perplexity\u002Fask-perplexity-ai-medicine-related-questions) \u003Cbr>\n[Ask Gemini MEDICINE Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedicine\u002Fpub-gemini-google\u002Fask-gemini-medicine-related-questions) \u003Cbr>\n[Ask Claude MEDICINE Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedicine\u002Fpub-claude-anthropic\u002Fask-claude-medicine-related-questions) \u003Cbr>\n\n\n### NURSING\n[Best AI in NURSING Healthcare](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing) \u003Cbr>\n[Ask Gemini NURSING Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-gemini-google\u002Fask-gemini-nursing-related-questions) \u003Cbr>\n[Ask Claude NURSING Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-claude-anthropic\u002Fask-claude-nursing-related-questions) \u003Cbr>\n[Ask Perplexity AI NURSING Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-perplexity\u002Fask-perplexity-ai-nursing-related-questions) \u003Cbr>\n[Ask ChatGPT NURSING Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-chatgpt-openai\u002Fask-chatgpt-nursing-related-questions) \u003Cbr>\n\n\n\n### BEAUTY\n[Best AI in BEAUTY Healthcare](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing) \u003Cbr>\n[Ask Gemini NURSING Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-gemini-google\u002Fask-gemini-nursing-related-questions) \u003Cbr>\n[Ask Claude NURSING Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-claude-anthropic\u002Fask-claude-nursing-related-questions) \u003Cbr>\n[Ask Perplexity AI NURSING Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-perplexity\u002Fask-perplexity-ai-nursing-related-questions) \u003Cbr>\n[Ask ChatGPT NURSING Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-chatgpt-openai\u002Fask-chatgpt-nursing-related-questions) \u003Cbr>\n\n\n\n### ELDERLY CARE\n[Best AI in ELDERLY CARE](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Felderly-care) \u003Cbr>\n[Ask Perplexity AI ELDERLY CARE Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Felderly-care\u002Fpub-perplexity\u002Fask-perplexity-ai-elderly-care-related-questions) \u003Cbr>\n[Ask Gemini ELDERLY CARE Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Felderly-care\u002Fpub-gemini-google\u002Fask-gemini-elderly-care-related-questions) \u003Cbr>\n[Ask ChatGPT ELDERLY CARE Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Felderly-care\u002Fpub-chatgpt-openai\u002Fask-chatgpt-elderly-care-related-questions) \u003Cbr>\n[Ask Claude ELDERLY CARE Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Felderly-care\u002Fpub-claude-anthropic\u002Fask-claude-elderly-care-related-questions) \u003Cbr>\n\n\n\n### MEDICAL INSTRUMENT\n[Best AI in MEDICAL INSTRUMENT](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedical-instrument) \u003Cbr>\n[Ask ChatGPT MEDICAL INSTRUMENT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedical-instrument\u002Fpub-chatgpt-openai\u002Fask-chatgpt-medical-instrument-related-questions) \u003Cbr>\n[Ask Claude MEDICAL INSTRUMENT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedical-instrument\u002Fpub-claude-anthropic\u002Fask-claude-medical-instrument-related-questions) \u003Cbr>\n[Ask Perplexity AI MEDICAL INSTRUMENT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedical-instrument\u002Fpub-perplexity\u002Fask-perplexity-ai-medical-instrument-related-questions) \u003Cbr>\n[Ask Gemini MEDICAL INSTRUMENT Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedical-instrument\u002Fpub-gemini-google\u002Fask-gemini-medical-instrument-related-questions) \u003Cbr>\n\n\n\n## AI for Elderly: User Ratings, Reviews and Showcase\n[Best AI for Elderly User Ratings, Reviews and Showcase](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly) \u003Cbr>\n\nPrompts (Questions) exmaples\nWhat are the side effects of [medication]?\nHow can I manage [illness]?\n\ne.g. \nWhat are the side effects of Tylenol?\nHow can I manage arthritis pain?\n\n\n### ShowCases\n[Elderly People Ask Gemini Personal Hobbies Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly\u002Fhobby\u002Fpub-gemini-google\u002Felderly-people-ask-gemini-personal-hobbies-related-questions) \u003Cbr>\n[Elderly People Ask Gemini Legal Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly\u002Flegal\u002Fpub-gemini-google\u002Felderly-people-ask-gemini-legal-questions) \u003Cbr>\n[Elderly People Ask Gemini Health and Medicine Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly\u002Fhealth\u002Fpub-gemini-google\u002Felderly-people-ask-gemini-health-and-medicine-related-questions) \u003Cbr>\n[Elderly People Ask ChatGPT Health and Medicine Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly\u002Fhealth\u002Fpub-chatgpt-openai\u002Felderly-people-ask-chatgpt-health-and-medicine-related-questions) \u003Cbr>\n[Elderly People Ask Perplexity AI Health and Medicine Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly\u002Fhealth\u002Fpub-perplexity\u002Felderly-people-ask-perplexity-ai-health-and-medicine-related-questions) \u003Cbr>\n[Elderly People Ask Claude Health and Medicine Related Questions](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly\u002Fhealth\u002Fpub-claude-anthropic\u002Felderly-people-ask-claude-health-and-medicine-related-questions) \u003Cbr>\n\n\n## AI for Kids: User Ratings, Reviews and Showcase\n\n[Best AI for Kids User Ratings, Reviews and Showcase](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fkids)\n\nPrompts (Questions) exmaples\n\n### STORY TELLING for KIDS\n1. Please tell me a bedtime story about unicorns for my 4 years old daughter.\n2. Help me write a story about Paw Patrol Dogs Fighting Bad Guys\n\n### DRAWING|AIGC\n1. Help me Draw a picture about Paw Patrol Dogs Chase Driving Police Car\n2. Help me Draw a picture Peppa Pig playing in the swimming pool\n\nShowCases\n[Ask Gemini to Tell a Bedtime Story](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fkids\u002Fstory-telling\u002Fpub-gemini-google\u002Fask-gemini-to-tell-a-bedtime-story)\n[Ask Gemini to Draw Cartoon Characters](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fkids\u002Fdrawing\u002Fpub-gemini-google\u002Fask-gemini-to-draw-cartoon-characters)\n[Ask Gemini to Tell a Bedtime Story](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fkids\u002Fstory-telling\u002Fpub-chatgpt-openai\u002Fask-chatgpt-to-tell-a-bedtime-story)\n[Ask ChatGPT to Draw Cartoon Character](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fkids\u002Fdrawing\u002Fpub-chatgpt-openai\u002Fask-chatgpt-to-draw-cartoon-character)\n\n\n## AI in LifeStyle\n[Best AI in LifeStyle User Ratings, Reviews and Showcase](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle)\n\nPrompts (Questions) exmaples\n\n#### Act as ${role}\nI want you to respond and answer like ${role} using the tone, manner that ${role} would use. Do not write any explanations. My first sentence is ${your_question}.\n\n#### ShowCases\n[Ask ChatGPT to Act As Lovers in a Relationship](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle\u002Frelationship\u002Fpub-chatgpt-openai\u002Fask-chatgpt-to-act-as-lovers-in-a-relationship) \u003Cbr>\n[Ask Gemini to Act As Lovers in a Relationship](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle\u002Frelationship\u002Fpub-gemini-google\u002Fask-gemini-to-act-as-lovers-in-a-relationship) \u003Cbr>\n[Ask Character AI to Act As Lovers in a Relationship](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle\u002Frelationship\u002Fpub-character-ai\u002Fask-character-ai-to-act-as-lovers-in-a-relationship) \u003Cbr>\n[Ask Doubao to Act As Lovers in a Relationship](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle\u002Frelationship\u002Fpub-doubao-douyin\u002Fask-doubao-to-act-as-lovers-in-a-relationship) \u003Cbr>\n[Ask Qwen AI from Alibaba to Act As Lovers in a Relationship](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle\u002Frelationship\u002Fpub-qwen-alibaba\u002Fask-qwen-ai-from-alibaba-to-act-as-lovers-in-a-relationship) \u003Cbr>\n[Ask Zhipu AI to Act As Lovers in a Relationship](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle\u002Frelationship\u002Fpub-zhipu-ai\u002Fask-zhipu-ai-to-act-as-lovers-in-a-relationship) \u003Cbr>\n\n## AI in Productivity Tool\n[Best AI in Productivity Tool User Ratings, Reviews and Showcase](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool)\n\n![image text](.\u002Fstore\u002Fai_productivity_tool.jpg \"AI Productivity Tool\")\n\n### Writing Tool\n[Best AI in Writing Tool](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fwriting)\n\n### Research Analysis\n[Best AI in Research & Analysis](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fresearch-&-analysis)\n\n###  Programming\n[Best AI in Programming](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fprogramming)\n\nPrompts:\nShow me the ${programming language} code of ${algorithm}, no explanation.\nWrite the ${programming language} to implement ${function}, no explanation.\nGenerate the ${programming language} code of a ${description} website, no explanation.\nFind the ${statistic} from ${data_source} and display in ${format}.\n\ne.g. \n1. Show me the latex code of KL Divergence\n2. Write the python code for QuickSort Implementation\n3. Generate the html code of a login page of a community website, no explanation.\n4. Find the 2023 divorce rate of all states in US and display in the table and line chart.\n\n\n#### ShowCase\n##### Programming\n[Gemini for Programming](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fprogramming\u002Fpub-gemini-google\u002Fgemini-for-programming)\n[ChatGPT for Programming](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fprogramming\u002Fpub-chatgpt-openai\u002Fchatgpt-for-programming)\n\n##### Plot Chat\n[Use ChatGPT to Draw Plot of Math Function](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fresearch-&-analysis\u002Fpub-chatgpt-openai\u002Fuse-chatgpt-to-draw-plot-of-math-function)\n##### Data Analysis\n[Use Gemini to Conduct Data Analysis](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fresearch-&-analysis\u002Fpub-gemini-google\u002Fuse-gemini-to-conduct-data-analysis)\n\n\n\n\n## Quadruped Robot Reviews\n[Quadruped Robot Review](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fquadruped-robot) \u003Cbr>\n[Boston Dynamics Spot Robot Dog Customer Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fquadruped-robot\u002Fquadruped-robot\u002Fpub-boston-dynamics\u002Fboston-dynamics-spot-robot-dog-customer-reviews) \u003Cbr>\n[Unitree Go2 Robot Dog Customer Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fquadruped-robot\u002Fquadruped-robot\u002Fpub-unitree\u002Funitree-go2-robot-dog-customer-reviews) \u003Cbr>\n[Anybotics Robot Dog Customer Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fquadruped-robot\u002Fquadruped-robot\u002Fpub-anybotics\u002Fanybotics-robot-dog-customer-reviews) \u003Cbr>\n\n\n## Humanoid Robot Reviews\n[Humanoid Robot Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhumanoid-robot) \u003Cbr>\n[Figure 02 Humanoid Robots Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhumanoid-robot\u002Fhumanoid-robot\u002Fpub-figure-ai\u002Ffigure-02-humanoid-robots-user-reviews) \u003Cbr>\n[Tesla Cybercab Robotaxi User Reviews from Earlybirds](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Frobotaxi\u002Frobotaxi\u002Fpub-tesla-cybercab\u002Ftesla-cybercab-robotaxi-user-reviews-from-earlybirds) \u003Cbr>\n[Tesla Optimus Humanoid Robots Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhumanoid-robot\u002Fhumanoid-robot\u002Fpub-tesla-optimus\u002Ftesla-optimus-humanoid-robots-reviews) \u003Cbr>\n\n## Robotaxi Reviews\n[Robotaxi Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Frobotaxi) \u003Cbr>\n[Take a Ride in Waymo ROBOTAXI And Write Your Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Frobotaxi\u002Frobotaxi\u002Fpub-waymo-google\u002Ftake-a-ride-in-waymo-robotaxi-and-write-your-reviews) \u003Cbr>\n[Take a Ride in Baidu Apollo ROBOTAXI And Write Your Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Frobotaxi\u002Frobotaxi\u002Fpub-baidu-apollo\u002Ftake-a-ride-in-baidu-apollo-robotaxi-and-write-your-reviews) \u003Cbr>\n[Take a Ride using Full Self-Driving FSD ability of Tesla](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Frobotaxi\u002Frobotaxi\u002Fpub-tesla\u002Ftake-a-ride-using-full-self-driving-fsd-ability-of-tesla) \u003Cbr>\n\n## Electric Vehicle Reviews\n[Electric Vehicle Reviews](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felectric-vehicle) \u003Cbr>\n[BMW i4 EV Reviews By Car Owners](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felectric-vehicle\u002Felectric-vehicle\u002Fpub-bmw-i4\u002Fbmw-i4-ev-reviews-by-car-owners) \u003Cbr>\n[Hyundai IONIQ 6 EV Reviews By Car Owners](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felectric-vehicle\u002Felectric-vehicle\u002Fpub-hyundai-ioniq-6\u002Fhyundai-ioniq-6-ev-reviews-by-car-owners) \u003Cbr>\n[BYD Seal EV Reviews By Car Owners](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felectric-vehicle\u002Felectric-vehicle\u002Fpub-byd-seal\u002Fbyd-seal-ev-reviews-by-car-owners) \u003Cbr>\n[Tesla Model 3 EV Reviews By Car Owners](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felectric-vehicle\u002Felectric-vehicle\u002Fpub-tesla-model-3\u002Ftesla-model-3-ev-reviews-by-car-owners) \u003Cbr>\n\n\n## DeepNLP AI & Robots Community\n\n[DeepNLP AI & Robots Community for AI Practitioner](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion) \u003Cbr>\n[Would you share your experience using AI Productivity Tools such as AI Writing Coding CoPilot](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fwould-you-share-your-experience-using-ai-productivity-tools-such-as-ai-writing-coding-copilot) \u003Cbr>\n[What are the features you need for AI Video Generator apps and tools](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fwhat-are-the-features-you-need-for-ai-video-generator-apps-and-tools) \u003Cbr>\n[Which one is the best AI Video Generator Runway Luma Pika Kling and Why](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fwhich-one-is-the-best-ai-video-generator-runway-luma-pika-kling-and-why) \u003Cbr>\n[What are the typical use scenarios of Quadruped Robot Dogs](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fwhat-are-the-typical-use-scenarios-of-quadruped-robot-dogs) \u003Cbr>\n[Humanoid Robot Husband Vote for the most popular appearance of Humanoid Robot Husband](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fhumanoid-robot-husband-vote-for-the-most-popular-appearance-of-humanoid-robot-husband) \u003Cbr>\n[Humanoid Robot Wife Who would you choose your humanoid robot wife to look like human females](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fhumanoid-robot-wife-who-would-you-choose-your-humanoid-robot-wife-to-look-like-human-females) \u003Cbr>\n[What are the most important features Humanoid Robot should have in the future](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fwhat-are-the-most-important-features-humanoid-robot-should-have-in-the-future) \u003Cbr>\n[What are the typical use cases of Humanoid Robots](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fwhat-are-the-typical-use-cases-of-humanoid-robots) \u003Cbr>\n\n\n## DeepNLP Agent Tools\n[AI Agent Visualization Review Asynchronous Multi-Agent Simulation](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fai-agent-visualization-review-asynchronous-multi-agent-simulation) \u003Cbr>\n[Dialogue Visualization Agent Multimodal Visualization Tools for AI Systems A Review](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fdialogue-agent-multimodal-visualization-tools-for-ai-systems) \u003Cbr>\n\n\n\n## Related Blog\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F \u003Cbr>\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fequation\u002F \u003Cbr>\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fsearch\u002F \u003Cbr>\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fworkspace\u002Fai_courses\u002F \u003Cbr>\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fworkspace\u002Faigc_chart\u002F \u003Cbr>\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fworkspace\u002Fai_writer\u002F \u003Cbr>\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fworkspace\u002Fdetail\u002F \u003Cbr>\n[Statistics Equation Formula](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fstatistics-equations-latex-code) \u003Cbr>\n[Machine Learning Equation Formula](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Flatex-code-machine-learning-equations) \u003Cbr>\n[Introduction to multimodal generative models](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fintroduction-to-multimodal-generative-models) \u003Cbr>\n[Generative AI Search Engine Optimization: How to Improve Your Content](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fgenerative-ai-search-engine-optimization-how-to-improve-your-content) \u003Cbr>\n[AI Courses for Kids](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fhow-to-use-generative-ai-to-draw-paw-patrol-dog-skye) \u003Cbr>\n[AI in Fashion: Tell IWC Schaffhausen Watches Real or Fake](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fhow-to-tell-iwc-schaffhausen-watches-real-or-fake-20-steps) \u003Cbr>\n[AI in Fashion: Tell Fendi bags real or fake](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fhow-to-tell-fendi-bags-real-or-fake-20-steps) \u003Cbr>\n[AI in Fashion: Tell Coach bags real or fake](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fhow-to-tell-coach-bags-real-or-fake-20-steps) \u003Cbr>\n[AI in Fashion: Tell Prada bags real or fake](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fhow-to-tell-prada-bags-real-or-fake-20-steps) \u003Cbr>\n[AI in Fashion: Tell Gucci bags real or fake](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F20-tricks-to-tell-gucci-bags-real-or-fake) \u003Cbr>\n[AI in Fashion: Tell Dior bags real or fake](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Ftell-dior-bags-real-or-fake-20-steps) \u003Cbr>\n[AI in Fashion: Tell Hermes bags real or fake](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F20-tricks-to-tell-hermes-bags-real-or-fake) \u003Cbr>\n[AI in Fashion: Tell Chanel bags real or fake](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F20-tricks-to-tell-chanel-bags-real-or-fake) \u003Cbr>\n[AI in Fashion: Tell Louis Vuitton bags real or fake](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F20-tricks-to-tell-louis-vuitton-bags-real-or-fake) \u003Cbr>\n[AI in Fashion: Tell Omega Watches real or fake](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F20-tricks-to-tell-if-omega-watch-is-real-or-fake) \u003Cbr>\n[AI in Fashion: Tell Rolex Watches real or fake](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F20-tricks-to-tell-if-rolex-watch-is-real-or-fake) \u003Cbr>\n[DeepNLP Review Panel](http:\u002F\u002Fwww.deepnlp.org\u002Freview) \u003Cbr>\n[DeepNLP Car Review Panel](http:\u002F\u002Fwww.deepnlp.org\u002Freview\u002Fcar) \u003Cbr>\n[DeepNLP Ecommerce Review Panel](http:\u002F\u002Fwww.deepnlp.org\u002Freview\u002Fecommerce) \u003Cbr>\n[DeepNLP Ecommerce Bags Review Panel](http:\u002F\u002Fwww.deepnlp.org\u002Freview\u002Fecommerce\u002Fbag) \u003Cbr>\n[DeepNLP Watch Bags Review Panel](http:\u002F\u002Fwww.deepnlp.org\u002Freview\u002Fecommerce\u002Fwatch) \u003Cbr>\n[DeepNLP Review Ecommerce Brand List](http:\u002F\u002Fwww.deepnlp.org\u002Freview\u002Fecommerce\u002Fpub) \u003Cbr>\n[DeepNLP Review Car Brand List](http:\u002F\u002Fwww.deepnlp.org\u002Freview\u002Fcar\u002Fpub) \u003Cbr>\n[AI Agent Visualization Review Asynchronous Multi-Agent Simulation](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fai-agent-visualization-review-asynchronous-multi-agent-simulation) \u003Cbr>\n[Dialogue Visualization Agent Multimodal Visualization Tools for AI Systems A Review](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fdialogue-agent-multimodal-visualization-tools-for-ai-systems) \u003Cbr>\n[Dialogue Visualization Tools](http:\u002F\u002Fwww.deepnlp.org\u002Fworkspace\u002Fdialogue_visualization) \u003Cbr>\n[Agent Visualization Tools](http:\u002F\u002Fwww.deepnlp.org\u002Fworkspace\u002Fagent_visualization) \u003Cbr>\n\n\n======================================================================================================================================================================================================\n# By End of 2020, deepnlp lib is archived and only support TF to 1.13\nDeep Learning NLP Pipeline implemented on Tensorflow. Following the 'simplicity' rule, this project aims to \nuse the deep learning library of Tensorflow to implement new NLP pipeline. You can extend the project to \ntrain models with your own corpus\u002Flanguages. Pretrained models of Chinese corpus are distributed.\nFree RESTful NLP API are also provided. Visit http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpipeline for details.\n\nBrief Introduction\n==================\n* [Modules](#modules)\n* [Installation](#installation)\n* [Tutorial](#tutorial)\n    * [Segmentation](#segmentation)\n    * [POS](#pos)\n    * [NER](#ner)\n    * [Parsing](#parsing) \n    * [Pipeline](#pipeline)\n    * [Textsum](#textsum)\n    * [Textrank](#textrank)\n    * [Textcnn](#textcnn)\n    * [Train your model](#train-your-model)\n    * [Web API Service](#web-api-service)\n* [中文简介](#中文简介)\n* [安装说明](#安装说明)\n* [Reference](#reference)\n\nModules\n========\n* NLP Pipeline Modules:\n    * Word Segmentation\u002FTokenization\n    * Part-of-speech (POS)\n    * Named-entity-recognition(NER)\n    * Dependency Parsing (Parse)\n    * textsum: automatic summarization Seq2Seq-Attention models\n    * textrank: extract the most important sentences\n    * textcnn: document classification\n    * Web API: Free Tensorflow empowered web API\n    * Planed: Automatic Summarization\n\n* Algorithm(Closely following the state-of-Art)\n    * Word Segmentation: Linear Chain CRF(conditional-random-field), based on python CRF++ module\n    * POS: LSTM\u002FBI-LSTM\u002FLSTM-CRF network, based on Tensorflow\n    * NER: LSTM\u002FBI-LSTM\u002FLSTM-CRF network, based on Tensorflow\n    * Parse: Arc-Standard System with Feed Forward Neural Network\n    * Textsum: Seq2Seq with attention mechanism\n    * Texncnn: CNN\n\n* Pre-trained Model\n    * Chinese: Segmentation, POS, NER, Parse (1998 china daily corpus)\n    * Domain Specific NER Models are also provided: general, entertainment, o2o, etc... Contribution are welcome\n    * English: POS (brown corpus)\n    * For your Specific Language, you can easily use the script to train model with the corpus of your language choice.\n\nInstallation\n================\n* Requirements\n    * CRF++ (>=0.54)\n    * Tensorflow(1.4)\n    * Python (python2.7 and python3.6 are tested)\nThis project is up to date with the latest tensorflow release. \nFor tensorflow (\u003C=0.12.0), use deepnlp \u003C=0.1.5 version. \ntensorflow (1.0-1.3), use deepnlp = 0.1.6 version\ntensorflow (1.4), use deepnlp = 0.1.7 version\nSee RELEASE.md for more details\n\n\n* Pip\n```python\n    # linux, run the script:\n    pip install deepnlp\n```\nDue to pkg size restriction, english pos model, ner domain specific model files are not distributed on pypi\nYou can download the pre-trained model files from github and put in your installation directory ...\u002Fsite-packages\u002F...\u002Fdeepnlp\u002F...\nmodel files: ..\u002Fpos\u002Fckpt\u002Fen\u002Fpos.ckpt  ; ..\u002Fner\u002Fckpt\u002Fzh\u002Fner.ckpt\n\n* Source Distribution, e.g. deepnlp-0.1.7.tar.gz: https:\u002F\u002Fpypi.python.org\u002Fpypi\u002Fdeepnlp\n\n```python\n    # linux, run the script:\n    tar zxvf deepnlp-0.1.7.tar.gz\n    cd deepnlp-0.1.7\n    python setup.py install\n```\n\n* Initial setup\n```python\n    # install crf++0.58 package using the script\n    sh .\u002Fdeepnlp\u002Fsegment\u002Finstall_crfpp.sh\n    # Download all the pre-trained models\n    python .\u002Ftest\u002Ftest_install.py\n    \n    # Or Download pre-trained models from below command lines\n    import deepnlp\n    deepnlp.download('segment')\n    deepnlp.download('pos')\n    deepnlp.download('ner')\n    deepnlp.download('parse')\n\n```\n\n* Running Examples\n```python\n    # .\u002Fdeepnlp\u002Ftest folder\n    cd test\n    python test_segment.py    # segmentation\n    python test_pos_en.py       # POS tag\n    python test_ner_zh.py       # NER Zh\n    python test_ner_domain.py   # NER domain-specific models\n    python test_ner_dict_udf.py # NER load user dict and UDF for disambiguation\n    python test_nn_parser.py    # dependency parsing\n    python test_api_v1_module.py\n    python test_api_v1_pipeline.py\n```\n\nTutorial\n===========\nSet Coding\n---------------\n设置编码\nFor python2, the default coding is ascii not unicode, use __future__ module to make it compatible with python3\n```python\n#coding=utf-8\nfrom __future__ import unicode_literals # compatible with python3 unicode\n\n```\n\nDownload pretrained models\n---------------\n下载预训练模型\nIf you install deepnlp via pip, the pre-trained models are not distributed due to size restriction. \nYou can download full models for 'Segment', 'POS' en and zh, 'NER' zh, zh_entertainment, zh_o2o, 'Textsum' by calling the download function.\n\n```python\nimport deepnlp\n# Download all the modules\ndeepnlp.download()\n\n# Download specific module\ndeepnlp.download('segment')\ndeepnlp.download('pos')\ndeepnlp.download('ner')\ndeepnlp.download('parse')\n\n# Download module and domain-specific model\ndeepnlp.download(module = 'pos', name = 'en') \ndeepnlp.download(module = 'ner', name = 'zh_entertainment')\n\n```\n\nSegmentation\n---------------\n分词模块\n```python\n#coding=utf-8\nfrom __future__ import unicode_literals\nfrom deepnlp import segmenter\n\ntokenizer = segmenter.load_model(name = 'zh_entertainment')\ntext = \"我刚刚在浙江卫视看了电视剧老九门，觉得陈伟霆很帅\"\nsegList = tokenizer.seg(text)\ntext_seg = \" \".join(segList)\n\n#Results\n# 我 刚刚 在 浙江卫视 看 了 电视剧 老九门 ， 觉得 陈伟霆 很 帅\n\n```\n\nPOS\n-----\n词性标注\n```python\n#coding:utf-8\nfrom __future__ import unicode_literals\n\nimport deepnlp\ndeepnlp.download('pos')\n\n## English Model\nfrom deepnlp import pos_tagger\ntagger = pos_tagger.load_model(name = 'en')  # Loading English model, lang code 'en', English Model Brown Corpus\n\ntext = \"I want to see a funny movie\"\nwords = text.split(\" \")     # unicode\nprint (\" \".join(words))\n\ntagging = tagger.predict(words)\nfor (w,t) in tagging:\n    pair = w + \"\u002F\" + t\n    print (pair)\n    \n#Results\n#I\u002Fnn want\u002Fvb to\u002Fto see\u002Fvb a\u002Fat funny\u002Fjj movie\u002Fnn\n\n## Chinese Model\nfrom deepnlp import segmenter\nfrom deepnlp import pos_tagger\ntagger = pos_tagger.load_model(name = 'zh') # Loading Chinese model, lang code 'zh', China Daily Corpus\n\ntext = \"我爱吃北京烤鸭\"\nwords = segmenter.seg(text) # words in unicode coding\nprint (\" \".join(words))\n\ntagging = tagger.predict(words)  # input: unicode coding\nfor (w,t) in tagging:\n    pair = w + \"\u002F\" + t\n    print (pair)\n\n#Results\n#我\u002Fr 爱\u002Fv 吃\u002Fv 北京\u002Fns 烤鸭\u002Fn\n\n```\n\nNER\n------------\n命名实体识别\n```python\n\nfrom __future__ import unicode_literals   # compatible with python3 unicode\n\nimport deepnlp\ndeepnlp.download('ner')  # download the NER pretrained models from github if installed from pip\n\nfrom deepnlp import ner_tagger\n\n# Example: Entertainment Model\ntagger = ner_tagger.load_model(name = 'zh_entertainment')   # Base LSTM Based Model\n#Load Entertainment Dict\ntagger.load_dict(\"zh_entertainment\")\ntext = \"你 最近 在 看 胡歌 演的 猎场 吗 ?\"\nwords = text.split(\" \")\ntagset_entertainment = ['actor', 'role_name', 'teleplay', 'teleplay_tag']\ntagging = tagger.predict(words, tagset = tagset_entertainment)\nfor (w,t) in tagging:\n    pair = w + \"\u002F\" + t\n    print (pair)\n\n#Result\n#你\u002Fnt\n#最近\u002Fnt\n#在\u002Fnt\n#看\u002Fnt\n#胡歌\u002Factor\n#演的\u002Fnt\n#猎场\u002Fteleplay\n#吗\u002Fnt\n#?\u002Fnt\n\n```\n\nParsing\n------------\n依存句法分析\n\n```python\n\nfrom __future__ import unicode_literals # compatible with python3 unicode coding\n\nfrom deepnlp import nn_parser\nparser = nn_parser.load_model(name = 'zh')\n\n#Example 1, Input Words and Tags Both\nwords = ['它', '熟悉', '一个', '民族', '的', '历史']\ntags = ['r', 'v', 'm', 'n', 'u', 'n']\n\n#Parsing\ndep_tree = parser.predict(words, tags)\n\n#Fetch result from Transition Namedtuple\nnum_token = dep_tree.count()\nprint (\"id\\tword\\tpos\\thead\\tlabel\")\nfor i in range(num_token):\n    cur_id = int(dep_tree.tree[i+1].id)\n    cur_form = str(dep_tree.tree[i+1].form)\n    cur_pos = str(dep_tree.tree[i+1].pos)\n    cur_head = str(dep_tree.tree[i+1].head)\n    cur_label = str(dep_tree.tree[i+1].deprel)\n    print (\"%d\\t%s\\t%s\\t%s\\t%s\" % (cur_id, cur_form, cur_pos, cur_head, cur_label))\n\n# Result\nid\tword\tpos\thead\tlabel\n1\t它\tr\t2\tSBV\n2\t熟悉\tv\t0\tHED\n3\t一个\tm\t4\tQUN\n4\t民族\tn\t5\tDE\n5\t的\tu\t6\tATT\n6\t历史\tn\t2\tVOB\n\n```\n\n\nPipeline\n----------\n```python\n#coding:utf-8\nfrom __future__ import unicode_literals\n\nfrom deepnlp import pipeline\np = pipeline.load_model('zh')\n\n#Segmentation\ntext = \"我爱吃北京烤鸭\"\nres = p.analyze(text)\n\nprint (res[0].encode('utf-8'))\nprint (res[1].encode('utf-8'))\nprint (res[2].encode('utf-8'))\n\nwords = p.segment(text)\npos_tagging = p.tag_pos(words)\nner_tagging = p.tag_ner(words)\n\nprint (pos_tagging.encode('utf-8'))\nprint (ner_tagging.encode('utf-8'))\n\n```\n\nTextsum\n---------------\n自动文摘\n\nSee details: [README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Ftextsum)\n\nTextrank\n---------------\n重要句子抽取\n\nSee details: [README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Ftextrank)\n\nTextCNN (WIP)\n---------------\n文档分类\n\n\nTrain your model\n--------------------\n自己训练模型\n###Segment model\nSee instructions: [README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Fsegment)\n\n###POS model\nSee instructions: [README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Fpos)\n\n###NER model\nSee instructions: [README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Fner)\n\n###Parsing model\nSee instructions: [README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Fparse)\n\n###Textsum model\nSee instructions: [README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Ftextsum)\n\nWeb API Service\n----------------\nwww.deepnlp.org provides free web API service for common NLP modules of sentences and paragraphs.\nThe APIs are RESTful and based on pre-trained tensorflow models. Chinese language is now supported.\n\n* RESTful API\n    * Segmentation:  http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fsegment\u002F?lang=zh&text=我爱吃北京烤鸭\n    * POS:           http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpos\u002F?lang=zh&text=我爱吃北京烤鸭\n    * NER:           http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fner\u002F?lang=zh&text=我爱吃北京烤鸭\n    * Pipeline:      http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpipeline\u002F?lang=zh&annotators=segment,pos,ner&text=我爱吃北京烤鸭\n\n#### Testing API from Browser, Need to log in first\n![image](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Frockingdingo_deepnlp_readme_4291f6d872fe.jpg)\n\n#### Calling API from python\nSee .\u002Fdeepnlp\u002Ftest\u002Ftest_api_v1_module.py for more details.\n\n```python\n#coding:utf-8\nfrom __future__ import unicode_literals\n\nimport json, requests, sys, os\nif (sys.version_info>(3,0)): from urllib.parse import quote \nelse : from urllib import quote\n\nfrom deepnlp import api_service\nlogin = api_service.init()          # registration, if failed, load default empty login {} with limited access\nconn = api_service.connect(login)   # save the connection with login cookies\n\n# Sample URL\n# http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpipeline\u002F?lang=zh&annotators=segment,pos,ner&text=我爱吃上海小笼包\n\n# Define text and language\ntext = (\"我爱吃上海小笼包\").encode(\"utf-8\")  # convert text from unicode to utf-8 bytes\n\n# Set up URL for POS tagging\nurl_pos = 'http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpos\u002F?\"+ \"lang=\" + quote('zh') + \"&text=\" + quote(text)\nweb = requests.get(url_pos, cookies = conn)\ntuples = json.loads(web.text)\nprint (tuples['pos_str'].encode('utf-8'))    # POS json {'pos_str', 'w1\u002Ft1 w2\u002Ft2'} return string\n\n```\n\n中文简介\n==========\ndeepnlp项目是基于Tensorflow平台的一个python版本的NLP套装, 目的在于将Tensorflow深度学习平台上的模块，结合\n最新的一些算法，提供NLP基础模块的支持，并支持其他更加复杂的任务的拓展，如生成式文摘等等。\n\n* NLP 套装模块\n    * 分词 Word Segmentation\u002FTokenization\n    * 词性标注 Part-of-speech (POS)\n    * 命名实体识别 Named-entity-recognition(NER)\n    * 依存句法分析 Dependency Parsing (Parse)\n    * 自动生成式文摘 Textsum (Seq2Seq-Attention)\n    * 关键句子抽取 Textrank\n    * 文本分类 Textcnn (WIP)\n    * 可调用 Web Restful API\n    * 计划中: 句法分析 Parsing\n\n* 算法实现\n    * 分词: 线性链条件随机场 Linear Chain CRF, 基于CRF++包来实现\n    * 词性标注: 单向LSTM\u002F 双向BI-LSTM, 基于Tensorflow实现\n    * 命名实体识别: 单向LSTM\u002F 双向BI-LSTM\u002F LSTM-CRF 结合网络, 基于Tensorflow实现\n    * 依存句法分析: 基于arc-standard system的神经网络的parser\n\n* 预训练模型\n    * 中文: 基于人民日报语料和微博混合语料: 分词, 词性标注, 实体识别\n\n\nAPI 服务\n---------------\nhttp:\u002F\u002Fwww.deepnlp.org 出于技术交流的目的, 提供免费API接口供文本和篇章进行深度学习NLP的分析, 简单注册后就可以使用。\nAPI符合RESTful风格, 内部是基于tensorflow预先训练好的深度学习模型。具体使用方法请参考博客: \nhttp:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Ftutorial-deepnlp-api\u002F\n\nAPI目前提供以下模块支持：\n* 分词:  http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fsegment\u002F?lang=zh&text=我爱吃北京烤鸭\n* 词性标注:           http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpos\u002F?lang=zh&text=我爱吃北京烤鸭\n* 命名实体识别:           http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fner\u002F?lang=zh&text=我爱吃北京烤鸭\n* Pipeline:      http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpipeline\u002F?lang=zh&annotators=segment,pos,ner&text=我爱吃北京烤鸭\n\n安装说明\n=======\n* 需要\n    * CRF++ (>=0.54)         可以从 https:\u002F\u002Ftaku910.github.io\u002Fcrfpp\u002F 下载安装\n    * Tensorflow(1.0)        这个项目的Tensorflow函数会根据最新Release更新，目前支持Tensorflow 1.0版本，对于老版本的Tensorflow(\u003C=0.12.0), 请使用 deepnlp \u003C=0.1.5版本, 更多信息请查看 RELEASE.md\n\n* Pip 安装\n```python\n    pip install deepnlp\n```\n\n* 从源码安装, 下载deepnlp-0.1.7.tar.gz文件: https:\u002F\u002Fpypi.python.org\u002Fpypi\u002Fdeepnlp\n```python\n    # linux, run the script:\n    tar zxvf deepnlp-0.1.7.tar.gz\n    cd deepnlp-0.1.7\n    python setup.py install\n```\n\n* 初始设置\n```python\n    # 运行脚本安装 crf++0.58 包\n    sh .\u002Fdeepnlp\u002Fsegment\u002Finstall_crfpp.sh\n    # 运行脚本下载预训练模型测试\n    python .\u002Ftest\u002Ftest_install.py\n```\n\nReference\n=======\n* CRF++ package: \nhttps:\u002F\u002Ftaku910.github.io\u002Fcrfpp\u002F#download\n* Tensorflow: \nhttps:\u002F\u002Fwww.tensorflow.org\u002F\n* Word Segmentation Using CRF++ Blog:\nhttp:\u002F\u002Fwww.52nlp.cn\u002F%E4%B8%AD%E6%96%87%E5%88%86%E8%AF%8D%E5%85%A5%E9%97%A8%E4%B9%8B%E5%AD%97%E6%A0%87%E6%B3%A8%E6%B3%954\n* Blogs\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F\n\n","# DeepNLP AI 应用商店\nDeepNLP AI 商店（http:\u002F\u002Fwww.deepnlp.org\u002Fstore）是一个新近上线的网站，旨在让用户从用户视角出发，针对 AI 服务的各个细节撰写真实评价、评分、人工评估、提示词，并分享使用案例。这与研究者视角下的大模型或多模态基准测试有所不同。DeepNLP 希望打造一个被称为 AI 服务“Yelp”的平台——就像 Yelp 帮助用户发现本地商家和服务一样，该平台将为用户提供发现和连接各类 AI 服务、AI 应用及机器人社区的机会，从而减轻客户在选择不同 AI 服务时的负担。\n\n![图片文字](.\u002Fstore\u002Fimage_generator.jpg \"AI 图像生成器评价与评分\")\n\n\n## 详尽的 AI 服务使用案例\n用户可以就某项 AI 服务（如 ChatGPT、Gemini、Perplexity、Midjourney 等）的特定功能撰写详细评测，例如 AI 在“纠正论文中的 Grammarly 错误”、“扮演医生诊断疾病”等方面的表现，或其文生图能力，如“生成卡通角色”、“绘制奇幻人形生物”等。用户只需上传对话截图或 AI 图像生成器所生成的图片即可。\n\n## 多维度评分\n用户可以对 AI 服务的各项功能进行整体评分（1 至 5 星），并针对每个功能的不同方面给出细化评分，包括“准确性”、“实用性”、“趣味性”，以及各功能特有的指标，如“图像清晰度”、“图像分辨率”、“艺术感”、“语法正确性”、“表达简洁性”等。\n\n![图片文字](.\u002Fstore\u002Fimage_generator_example_1.jpg \"AI 图像生成器评价与评分评论 1\")\n\n\n## 全品类与全人群覆盖\n我们涵盖了 30 多个不同的使用场景类别，例如：\nAI 图像生成器、AI 助手与聊天机器人、AI 翻译工具、AI 搜索引擎；\n面向儿童的 AI、面向成人的 AI、面向老年人的 AI；  \nAI 在旅游、交通、医疗健康、商业、金融、教育、效率工具等领域的应用；  \nAI 在政治、娱乐、新闻、艺术体育、生活方式等领域的应用；  \nAI 在支付、社交、农业、科学、技术、旅行、交通运输、汽车、慈善公益、公共服务、住房、法律、通信、食品等领域的应用。\n\n\n## AI 应用商店按类别划分的评价与评分\n\n[AI 图像生成器](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator) \u003Cbr>\n[AI 搜索引擎](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fsearch-engine)  \u003Cbr>\n[AI 聊天机器人助手](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fchatbot-assistant)  \u003Cbr>\n[AI 视频生成器评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator) \u003Cbr>\n[面向老年人的 AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly)  \u003Cbr>\n[面向儿童的 AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fkids)  \u003Cbr>\n[AI 在法律领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw) \u003Cbr>\n[AI 在金融领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance) \u003Cbr>\n[AI 在医疗健康领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare)  \u003Cbr>\n[AI 在商业领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fbusiness)  \u003Cbr>\n[AI 在教育领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Feducation) \u003Cbr>\n[AI 在效率工具领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool) \u003Cbr>\n[AI 在政治领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpolitics) \u003Cbr>\n[AI 在娱乐领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fentertainment) \u003Cbr>\n[AI 在新闻领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fnews) \u003Cbr>\n[AI 在艺术与体育领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fart-and-sports) \u003Cbr>\n[AI 在生活方式领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle) \u003Cbr>\n[AI 在支付领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpayment) \u003Cbr>\n[AI 在社交领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fsocial) \u003Cbr>\n[AI 在农业领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fagriculture) \u003Cbr>\n[AI 在科学领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fscience) \u003Cbr>\n[AI 在技术领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ftechnology) \u003Cbr>\n[AI 在旅行领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ftravel) \u003Cbr>\n[AI 在交通运输领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ftransportation) \u003Cbr>\n[AI 在汽车领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcar) \u003Cbr>\n[AI 在慈善公益领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcharity) \u003Cbr>\n[AI 在公共服务领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpublic-service) \u003Cbr>\n[AI 在住房领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhousing) \u003Cbr>\n[AI 在通信领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcommunication) \u003Cbr>\n[AI 在食品领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffood) \u003Cbr>\n[四足机器人评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fquadruped-robot) \u003Cbr>\n[人形机器人评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhumanoid-robot) \u003Cbr>\n[自动驾驶出租车评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Frobotaxi) \u003Cbr>\n[电动汽车评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felectric-vehicle) \u003Cbr>\n\n\n## AI 应用商店的主要 AI 服务发布方\n### 聊天机器人助手\n[ChatGPT 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-chatgpt-openai) \u003Cbr>\n[Gemini 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-gemini-google) \u003Cbr>\n[Perplexity 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-perplexity) \u003Cbr>\n[Claude Anthropic 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-claude-anthropic) \u003Cbr>\n[Doubao 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-doubao-douyin) \u003Cbr>\n[Qwen 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-qwen-alibaba) \u003Cbr>\n[Zhipu AI 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-zhipu-ai) \u003Cbr>\n[Zhipu CogVLM AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-cogvlm-zhipu-ai) \u003Cbr>\n[Character.AI 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-character-ai) \u003Cbr>\n[Xinye 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-xingye-minimax) \u003Cbr>\n[GPT-5 预测评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-gpt-5) \u003Cbr>\n### 社交 AI\n[Character AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-character-ai) \u003Cbr>\n\n### 图像生成器\n[Midjourney 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-midjourney) \u003Cbr>\n[Stable Diffusion 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-stable-diffusion) \u003Cbr>\n[Canva 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-canva) \u003Cbr>\n[Flux AI 评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-flux-1-black-forest-lab) \u003Cbr>\n### AI 写作工具\n[Grammarly 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-grammarly) \u003Cbr>\n\n### 四足与人形机器人\n[Figure ai 用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-figure-ai) \u003Cbr>\n[Unitree Robotics](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-unitree-robotics) \u003Cbr>\n[Boston Dynamics 评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-boston-dynamics) \u003Cbr>\n[Anybotics 评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-anybotics) \u003Cbr>\n[Tesla 评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-tesla) \u003Cbr>\n[Tesla Cybercab 自动驾驶出租车](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-tesla-cybercab) \u003Cbr>\n[Tesla Optimus|pub-tesla-optimus](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-tesla-optimus) \u003Cbr>\n\n### 电动汽车\n[Bmw i4 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-bmw-i4) \u003Cbr>\n[Hyundai ioniq 6 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-hyundai-ioniq-6) \u003Cbr>\n[Byd seal 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-byd-seal) \u003Cbr>\n[Tesla Model 3 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-tesla-model-3) \u003Cbr>\n\n### 视频生成器\n[Kling AI 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-kling-kwai) \u003Cbr>\n[Dreamina Douyin 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-dreamina-douyin) \u003Cbr>\n[Sora Openai 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-sora-openai) \u003Cbr>\n## VR头显\u002FAI眼镜\n[Apple Glasses 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-apple-glasses) \u003Cbr>\n[Apple VR头显 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-apple-ar-vr-headset) \u003Cbr>\n[Meta VR头显 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-meta-vr-headset) \u003Cbr>\n[Meta Glasses 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-meta-glasses) \u003Cbr>\n[Google VR 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-google-ar-vr-headset) \u003Cbr>\n[Google Glasses](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-google-glass) \u003Cbr>\n### LLM推理\n[ChatGPT Strawberry 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-chatgpt-strawberry) \u003Cbr>\n[OpenAI o1 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-openai-o1) \u003Cbr>\n### AI教育\n[Coursera课程评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-coursera) \u003Cbr>\n[Udacity课程评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-udacity) \u003Cbr>\n[Grammarly 评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fpub\u002Fpub-grammarly) \u003Cbr>\n\n### 多方面对比的AI服务评测与评分\n#### AI聊天机器人助手\n[ChatGPT vs Gemini](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-chatgpt-openai-vs-pub-gemini-google) \u003Cbr>\n[Gemini vs ChatGPT](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-gemini-google-vs-pub-chatgpt-openai) \u003Cbr>\n[ChatGPT vs Perplexity](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-chatgpt-openai-vs-pub-perplexity) \u003Cbr>\n[Perplexity vs ChatGPT](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-perplexity-vs-pub-chatgpt-openai) \u003Cbr>\n[ChatGPT vs Claude](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-chatgpt-openai-vs-pub-claude-anthropic) \u003Cbr>\n[Claude vs ChatGPT](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-claude-anthropic-vs-pub-chatgpt-openai) \u003Cbr>\n[Gemini vs Perplexity](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-gemini-google-vs-pub-perplexity) \u003Cbr>\n[Perplexity vs Gemini](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-perplexity-vs-pub-gemini-google) \u003Cbr>\n[Gemini vs Claude](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-gemini-google-vs-pub-claude-anthropic) \u003Cbr>\n[Claude vs Gemini](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-claude-anthropic-vs-pub-gemini-google) \u003Cbr>\n[Perplexity vs Claude](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-perplexity-vs-pub-claude-anthropic) \u003Cbr>\n[Claude vs Perplexity](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-claude-anthropic-vs-pub-perplexity) \u003Cbr>\n[doubao vs chatgpt](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-doubao-douyin-vs-pub-chatgpt-openai) \u003Cbr>\n[qwen vs chatgpt](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-qwen-alibaba-vs-pub-chatgpt-openai) \u003Cbr>\n[zhipu vs chatgpt](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-zhipu-ai-vs-pub-chatgpt-openai) \u003Cbr>\n[chatgpt vs zhupu](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-cogvlm-zhipu-ai-vs-pub-chatgpt-openai) \u003Cbr>\n[doubao vs qwen](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-doubao-douyin-vs-pub-qwen-alibaba) \u003Cbr>\n[doubao vs zhipu ai](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-doubao-douyin-vs-pub-zhipu-ai) \u003Cbr>\n\n#### AI图像生成器对比\n[midjourney vs stable diffusion](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-midjourney-vs-pub-stable-diffusion) \u003Cbr>\n[stable diffusion vs midjourney](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-stable-diffusion-vs-pub-midjourney) \u003Cbr>\n[midjourney vs Canva](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-midjourney-vs-pub-canva) \u003Cbr>\n[Canva vs midjourney](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-canva-vs-pub-midjourney) \u003Cbr>\n[midjourney vs chatgpt](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-midjourney-vs-pub-chatgpt-openai) \u003Cbr>\n[chatgpt vs midjourney](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-chatgpt-openai-vs-pub-midjourney) \u003Cbr>\n\n#### AI视频生成器对比\n[Runway vs Pika](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-runway-vs-pub-pika) \u003Cbr>\n[Runway vs Kling](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-runway-vs-pub-kling-kwai) \u003Cbr>\n[Runway vs Dreamina](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-runway-vs-pub-dreamina-douyin) \u003Cbr>\n[Kling AI vs Runway](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-kling-kwai-vs-pub-runway) \u003Cbr>\n[Kling AI vs Pika](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-kling-kwai-vs-pub-pika) \u003Cbr>\n[Kling AI vs Dreamina](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-kling-kwai-vs-pub-dreamina-douyin) \u003Cbr>\n[Dreamina vs Kling AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-dreamina-douyin-vs-pub-kling-kwai) \u003Cbr>\n[Dreamina vs Runway](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-dreamina-douyin-vs-pub-runway) \u003Cbr>\n[Dreamina vs Pika](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-dreamina-douyin-vs-pub-pika) \u003Cbr>\n\n\n#### AI聊天机器人\n[character ai vs Chatgpt](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-character-ai-vs-pub-chatgpt-openai) \u003Cbr>\n[character ai vs Gemini](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-character-ai-vs-pub-gemini-google) \u003Cbr>\n\n#### AI写作\n[Grammarly vs Chatgpt](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-grammarly-vs-pub-gemini-google) \u003Cbr>\n[Grammarly vs Gemini Google](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-grammarly-vs-pub-gemini-google) \u003Cbr>\n\n#### 无人出租车\n[Baidu VS Waymo 无人出租车评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-baidu-apollo-vs-pub-waymo-google) \u003Cbr>\n[Waymo vs Baidu 用户评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-waymo-google-vs-pub-baidu-apollo) \u003Cbr>\n[Tesla Cybercab vs Waymo](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-tesla-cybercab-vs-pub-waymo-google) \u003Cbr>\n[Tesla Cybercab vs Baidu Apollo](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-tesla-cybercab-vs-pub-baidu-apollo) \u003Cbr>\n\n#### 机器人\n[Figure AI vs Tesla](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-figure-ai-vs-pub-tesla) \u003Cbr>\n[Tesla vs Figure AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-tesla-vs-pub-figure-ai) \u003Cbr>\n[Figure AI vs Boston Dynamics](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-figure-ai-vs-pub-boston-dynamics) \u003Cbr>\n[Boston Dynamics vs Figure AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-boston-dynamics-vs-pub-figure-ai) \u003Cbr>\n[Tesla vs Boston Dynamics](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-tesla-vs-pub-boston-dynamics) \u003Cbr>\n[Boston Dynamics vs Tesla](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-boston-dynamics-vs-pub-tesla) \u003Cbr>\n[Unitree vs Boston Dynamics](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-unitree-vs-pub-boston-dynamics) \u003Cbr>\n[Anybotics vs Boston Dynamics](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-anybotics-vs-pub-boston-dynamics) \u003Cbr>\n\n## 图像生成器AI商店\n\n[图像生成器最佳AI工具：用户评分、评论与展示](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator) \u003Cbr>\n\n![图片文字](.\u002Fstore\u002Fimage_generator.jpg \"AI图像生成器评论与评分\")\n\nDeepNLP AI商店是一个平台和社区，供用户撰写关于AI应用和服务的真实用户评论和评分。用户可以上传图片作为AI图像生成器的展示，例如Midjourney、Canva、Stable Diffusion等。人们还可以针对一些常见的用户提示（问题或意图）进行评论，比如“生成卡通角色”、“绘制幻想生物和类人生物”、“规划建筑设计”等等。\n\n![图片文字](.\u002Fstore\u002Fimage_generator_example_1.jpg \"AI图像生成器评论与评分评论1\")\n![图片文字](.\u002Fstore\u002Fimage_generator_example_2.jpg \"AI图像生成器评论与评分评论2\")\n\n\n\n### AI图像生成器展示\n\n#### 食品AI图像生成器\n[食品AI图像生成器](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood) \u003Cbr>\n[请Midjourney生成食品相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-midjourney\u002Fask-midjourney-to-generate-food-related-images) \u003Cbr>\n[请Stable Diffusion生成食品相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-food-related-images) \u003Cbr>\n[请Canva生成食品相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-canva\u002Fask-canva-to-generate-food-related-images) \u003Cbr>\n[请Doubao生成食品相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-food-related-images) \u003Cbr>\n[请Dreamina生成食品相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-dreamina\u002Fask-dreamina-to-generate-food-related-images) \u003Cbr>\n[请Zhipu AI生成食品相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-food-related-images) \u003Cbr>\n[请Qwen生成食品相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffood\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-food-related-images) \u003Cbr>\n\n\n\n#### 动物AI图像生成器\n\n[动物AI图像生成器](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal) \u003Cbr>\n[请Midjourney生成动物相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-midjourney\u002Fask-midjourney-to-generate-animal-related-images) \u003Cbr>\n[请Stable Diffusion生成动物相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-animal-related-images) \u003Cbr>\n[请Canva生成动物相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-canva\u002Fask-canva-to-generate-animal-related-images) \u003Cbr>\n[请Doubao生成动物相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-animal-related-images) \u003Cbr>\n[请Dreamina生成动物相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-dreamina\u002Fask-dreamina-to-generate-animal-related-images) \u003Cbr>\n[请Zhipu AI生成动物相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-animal-related-images) \u003Cbr>\n[请Qwen生成动物相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fanimal\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-animal-related-images) \u003Cbr>\n\n\n#### 名人AI图像生成器\n\n[名人AI图像生成器](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity) \u003Cbr>\n[请Midjourney生成名人相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-midjourney\u002Fask-midjourney-to-generate-celebrity-related-images) \u003Cbr>\n[请Stable Diffusion生成名人相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-celebrity-related-images) \u003Cbr>\n[请Canva生成名人相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-canva\u002Fask-canva-to-generate-celebrity-related-images) \u003Cbr>\n[请Doubao生成名人相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-celebrity-related-images) \u003Cbr>\n[请Dreamina生成名人相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-dreamina\u002Fask-dreamina-to-generate-celebrity-related-images) \u003Cbr>\n[请Zhipu AI生成名人相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-celebrity-related-images) \u003Cbr>\n[请Qwen生成名人相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcelebrity\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-celebrity-related-images) \u003Cbr>\n\n\n\n#### 自拍AI图像生成器\n\n[自拍AI图像生成器](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies) \u003Cbr>\n[请Midjourney生成自拍相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-midjourney\u002Fask-midjourney-to-generate-selfies-related-images) \u003Cbr>\n[请Stable Diffusion生成自拍相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-selfies-related-images) \u003Cbr>\n[请Canva生成自拍相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-canva\u002Fask-canva-to-generate-selfies-related-images) \u003Cbr>\n[请Doubao生成自拍相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-selfies-related-images) \u003Cbr>\n[请Dreamina生成自拍相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-dreamina\u002Fask-dreamina-to-generate-selfies-related-images) \u003Cbr>\n[请Zhipu AI生成自拍相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-selfies-related-images) \u003Cbr>\n[请Qwen生成自拍相关图片](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fselfies\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-selfies-related-images) \u003Cbr>\n\n\n#### 体育AI图像生成器\n\n[体育主题AI图像生成器](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports) \u003Cbr>\n[请求MidJourney生成体育相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-midjourney\u002Fask-midjourney-to-generate-sports-related-images) \u003Cbr>\n[请求Stable Diffusion生成体育相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-sports-related-images) \u003Cbr>\n[请求Canva生成体育相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-canva\u002Fask-canva-to-generate-sports-related-images) \u003Cbr>\n[请求DouBao生成体育相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-sports-related-images) \u003Cbr>\n[请求Dreamina生成体育相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-dreamina\u002Fask-dreamina-to-generate-sports-related-images) \u003Cbr>\n[请求智谱AI生成体育相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-sports-related-images) \u003Cbr>\n[请求通义千问生成体育相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fsports\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-sports-related-images) \u003Cbr>\n\n\n#### 科技主题AI图像生成器\n\n[科技主题AI图像生成器](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology) \u003Cbr>\n[请求MidJourney生成科技相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-midjourney\u002Fask-midjourney-to-generate-technology-related-images) \u003Cbr>\n[请求Stable Diffusion生成科技相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-technology-related-images) \u003Cbr>\n[请求Canva生成科技相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-canva\u002Fask-canva-to-generate-technology-related-images) \u003Cbr>\n[请求DouBao生成科技相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-technology-related-images) \u003Cbr>\n[请求Dreamina生成科技相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-dreamina\u002Fask-dreamina-to-generate-technology-related-images) \u003Cbr>\n[请求智谱AI生成科技相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-technology-related-images) \u003Cbr>\n[请求通义千问生成科技相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftechnology\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-technology-related-images) \u003Cbr>\n\n\n#### 旅行主题AI图像生成器\n\n[旅行主题AI图像生成器](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel) \u003Cbr>\n\n[请求MidJourney生成旅行相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-midjourney\u002Fask-midjourney-to-generate-travel-related-images) \u003Cbr>\n[请求Stable Diffusion生成旅行相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-travel-related-images) \u003Cbr>\n[请求Canva生成旅行相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-canva\u002Fask-canva-to-generate-travel-related-images) \u003Cbr>\n[请求DouBao生成旅行相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-travel-related-images) \u003Cbr>\n[请求Dreamina生成旅行相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-dreamina\u002Fask-dreamina-to-generate-travel-related-images) \u003Cbr>\n[请求智谱AI生成旅行相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-travel-related-images) \u003Cbr>\n[请求通义千问生成旅行相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ftravel\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-travel-related-images) \u003Cbr>\n\n\n#### 自然主题AI图像生成器\n\n[自然主题AI图像生成器](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature) \u003Cbr>\n[请求MidJourney生成自然相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-midjourney\u002Fask-midjourney-to-generate-nature-related-images) \u003Cbr>\n[请求Stable Diffusion生成自然相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-nature-related-images) \u003Cbr>\n[请求Canva生成自然相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-canva\u002Fask-canva-to-generate-nature-related-images) \u003Cbr>\n[请求DouBao生成自然相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-nature-related-images) \u003Cbr>\n[请求Dreamina生成自然相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-dreamina\u002Fask-dreamina-to-generate-nature-related-images) \u003Cbr>\n[请求智谱AI生成自然相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-nature-related-images) \u003Cbr>\n[请求通义千问生成自然相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fnature\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-nature-related-images) \u003Cbr>\n\n\n\n#### 日常生活主题AI图像生成器\n\n[日常生活主题AI图像生成器](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life) \u003Cbr>\n[请求MidJourney生成日常生活相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-midjourney\u002Fask-midjourney-to-generate-daily-life-related-images) \u003Cbr>\n[请求Stable Diffusion生成日常生活相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-stable-diffusion\u002Fask-stable-diffusion-to-generate-daily-life-related-images) \u003Cbr>\n[请求Canva生成日常生活相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-canva\u002Fask-canva-to-generate-daily-life-related-images) \u003Cbr>\n[请求DouBao生成日常生活相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-doubao-douyin\u002Fask-doubao-to-generate-daily-life-related-images) \u003Cbr>\n[请求Dreamina生成日常生活相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-dreamina\u002Fask-dreamina-to-generate-daily-life-related-images) \u003Cbr>\n[请求智谱AI生成日常生活相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-cogvlm-zhipu-ai\u002Fask-zhipu-ai-to-generate-daily-life-related-images) \u003Cbr>\n[请求通义千问生成日常生活相关图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fdaily-life\u002Fpub-qwen-alibaba\u002Fask-qwen-to-generate-daily-life-related-images) \u003Cbr>\n\n### 成功案例\n[使用MidJourney生成卡通角色](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcartoon-character\u002Fpub-midjourney\u002Fuse-midjourney-to-generate-cartoon-characters) \u003Cbr>\n[使用MidJourney绘制奇幻与类人生物](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffantacy\u002Fpub-midjourney\u002Fuse-midjourney-to-draw-fantacy-and-humanoids) \u003Cbr>\n[使用MidJourney绘制建筑效果图](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Farchitecture\u002Fpub-midjourney\u002Fuse-midjourney-to-plot-architecture)\n[使用Stable Diffusion生成卡通角色](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Fcartoon-character\u002Fpub-stable-diffusion\u002Fuse-stable-diffusion-to-generate-cartoon-characters)\n[使用Stable Diffusion生成奇幻与类人生物](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffantacy\u002Fpub-stable-diffusion\u002Fuse-stable-diffusion-to-generate-fantacy-and-humanoids)\n[使用Canva绘制奇幻与类人生物](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\u002Ffantacy\u002Fpub-canva\u002Fuse-canva-to-draw-fantacy-and-humanoids)\n\n\n## AI视频生成器商店\n[AI视频生成器评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator) \u003Cbr>\n[使用Sora生成奇幻相关视频](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator\u002Ffantasy\u002Fpub-sora-openai\u002Fuse-sora-to-generate-fantasy-related-videos) \u003Cbr>\n[使用Pika生成各类相关视频](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator\u002Fall\u002Fpub-pika\u002Fuse-pika-to-generate-all-related-videos) \u003Cbr>\n[使用Kling生成奇幻相关视频](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator\u002Ffantasy\u002Fpub-kling-kwai\u002Fuse-kling-to-generate-fantasy-related-videos) \u003Cbr>\n[使用Runway生成奇幻相关视频](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator\u002Ffantasy\u002Fpub-runway\u002Fuse-runway-to-generate-fantasy-related-videos) \u003Cbr>\n[使用Sora生成奇幻相关视频](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fvideo-generator\u002Ffantasy\u002Fpub-sora-openai\u002Fuse-sora-to-generate-fantasy-related-videos) \u003Cbr>\n\n\n## 法律领域的AI商店\n[法律领域最佳AI及用户评分、评论与展示](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw) \u003Cbr>\n\n![图片文字](.\u002Fstore\u002Fai_for_law.jpg \"法律领域AI评测与评分\")\n\n\n与大多数大型语言模型（LLM）基准测试和竞技场中难以理解的胜率指标（1对1比较）不同，DeepNLP AI商店上的用户评价聚焦于AI工具在行业细分领域的具体表现，例如“向ChatGPT咨询雇佣法相关问题”或“向Gemini咨询合同与协议相关问题”。用户可以从“整体”、“准确性”、“实用性”、“趣味性”等多个维度为AI系统生成的答案进行1至5星的评分，还可以针对服务的定制化方面进行评价，比如“信息是否实时”、“生成速度”等。在这里，我们将涵盖法律领域的多个子方向，包括雇佣法、合同与协议、商业与公司法、房地产、家庭法、人身伤害、刑法、移民法以及民权法等。\n\n\n提示词（问题）示例\n- 您是一位专门从事雇佣法的律师。我将向您咨询几个问题，其中包括：“我的雇主能否无故解雇我？如果我住在加利福尼亚州，我能获得多少赔偿？”\n- 关于职场歧视，我的权利有哪些？\n- 请以雇佣法专家的身份回答这个问题：“如果我被列入绩效改进计划，我能否就不合理的评估提出申诉？”\n\n\n\n### 雇佣法\n[雇佣法领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Femployment-law)  \u003Cbr>\n[向ChatGPT咨询雇佣法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Femployment-law\u002Fpub-chatgpt-openai\u002Fask-chatgpt-employment-law-related-questions)  \u003Cbr>\n[向Perplexity AI咨询雇佣法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Femployment-law\u002Fpub-perplexity\u002Fask-perplexity-ai-employment-law-related-questions)  \u003Cbr>\n[向Gemini咨询雇佣法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Femployment-law\u002Fpub-gemini-google\u002Fask-gemini-employment-law-related-questions)  \u003Cbr>\n[向Claude咨询雇佣法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Femployment-law\u002Fpub-claude-anthropic\u002Fask-claude-employment-law-related-questions)  \u003Cbr>\n\n\n### 合同与协议\n[合同与协议领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcontracts-and-agreements) \u003Cbr>\n[向Perplexity AI咨询合同与协议相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcontracts-and-agreements\u002Fpub-perplexity\u002Fask-perplexity-ai-contracts-and-agreements-related-questions)  \u003Cbr>\n[向ChatGPT咨询合同与协议相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcontracts-and-agreements\u002Fpub-chatgpt-openai\u002Fask-chatgpt-contracts-and-agreements-related-questions)  \u003Cbr>\n[向Gemini咨询合同与协议相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcontracts-and-agreements\u002Fpub-gemini-google\u002Fask-gemini-contracts-and-agreements-related-questions)  \u003Cbr>\n[向Claude咨询合同与协议相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcontracts-and-agreements\u002Fpub-claude-anthropic\u002Fask-claude-contracts-and-agreements-related-questions)  \u003Cbr>\n\n\n### 商业与公司法\n[商业与公司法领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fbusiness-and-corporate-law)\n[向Gemini咨询商业与公司法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fbusiness-and-corporate-law\u002Fpub-gemini-google\u002Fask-gemini-business-and-corporate-law-related-questions)  \u003Cbr>\n[向ChatGPT咨询商业与公司法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fbusiness-and-corporate-law\u002Fpub-chatgpt-openai\u002Fask-chatgpt-business-and-corporate-law-related-questions)  \u003Cbr>\n[向Perplexity AI咨询商业与公司法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fbusiness-and-corporate-law\u002Fpub-perplexity\u002Fask-perplexity-ai-business-and-corporate-law-related-questions)  \u003Cbr>\n[向Claude咨询商业与公司法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fbusiness-and-corporate-law\u002Fpub-claude-anthropic\u002Fask-claude-business-and-corporate-law-related-questions)  \u003Cbr>\n\n\n### 房地产\n[房地产法领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Freal-estate)\n[向ChatGPT咨询房地产相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Freal-estate\u002Fpub-chatgpt-openai\u002Fask-chatgpt-real-estate-related-questions) \u003Cbr>\n[向Perplexity AI咨询房地产相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Freal-estate\u002Fpub-perplexity\u002Fask-perplexity-ai-real-estate-related-questions) \u003Cbr>\n[向Gemini咨询房地产相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Freal-estate\u002Fpub-gemini-google\u002Fask-gemini-real-estate-related-questions) \u003Cbr>\n[向Claude咨询房地产相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Freal-estate\u002Fpub-claude-anthropic\u002Fask-claude-real-estate-related-questions) \u003Cbr>\n\n### 民权法\n[民权法领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcivil-rights-law) \u003Cbr>\n[向Perplexity AI提问民权法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcivil-rights-law\u002Fpub-perplexity\u002Fask-perplexity-ai-civil-rights-law-related-questions) \u003Cbr>\n[向Gemini提问民权法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcivil-rights-law\u002Fpub-gemini-google\u002Fask-gemini-civil-rights-law-related-questions) \u003Cbr>\n[向ChatGPT提问民权法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcivil-rights-law\u002Fpub-chatgpt-openai\u002Fask-chatgpt-civil-rights-law-related-questions) \u003Cbr>\n[向Claude提问民权法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcivil-rights-law\u002Fpub-claude-anthropic\u002Fask-claude-civil-rights-law-related-questions) \u003Cbr>\n\n\n### 家庭法\n[家庭法领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Ffamily-law)\n[向ChatGPT提问家庭法及相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Ffamily-law\u002Fpub-chatgpt-openai\u002Fask-chatgpt-family-law-and-related-question) \u003Cbr>\n[向Claude提问家庭法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Ffamily-law\u002Fpub-claude-anthropic\u002Fask-claude-family-law-related-questions) \u003Cbr>\n[向Perplexity AI提问家庭法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Ffamily-law\u002Fpub-perplexity\u002Fask-perplexity-ai-family-law-related-questions) \u003Cbr>\n[向Gemini提问家庭法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Ffamily-law\u002Fpub-gemini-google\u002Fask-gemini-family-law-related-questions) \u003Cbr>\n\n\n### 人身伤害法\n[人身伤害法领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fpersonal-injury) \u003Cbr>\n[向Perplexity AI提问人身伤害法及事故相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fpersonal-injury\u002Fpub-perplexity\u002Fask-perplexity-ai-personal-injury-law-and-accidents-related-question) \u003Cbr>\n[向ChatGPT提问人身伤害法及事故相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fpersonal-injury\u002Fpub-chatgpt-openai\u002Fask-chatgpt-personal-injury-law-and-accidents-related-question) \u003Cbr>\n[向Claude提问人身伤害法及事故相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fpersonal-injury\u002Fpub-claude-anthropic\u002Fask-claude-personal-injury-law-and-accidents-related-question) \u003Cbr>\n[向Gemini提问人身伤害法及事故相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fpersonal-injury\u002Fpub-gemini-google\u002Fask-gemini-personal-injury-law-and-accidents-related-question) \u003Cbr>\n\n### 刑事法\n[刑事法领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcriminal-law)\n[向Gemini提问刑事法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcriminal-law\u002Fpub-gemini-google\u002Fask-gemini-criminal-law-related-questions) \u003Cbr>\n[向Perplexity AI提问刑事法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcriminal-law\u002Fpub-perplexity\u002Fask-perplexity-ai-criminal-law-related-questions) \u003Cbr>\n[向ChatGPT提问刑事法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcriminal-law\u002Fpub-chatgpt-openai\u002Fask-chatgpt-criminal-law-related-questions) \u003Cbr>\n[向Claude提问刑事法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcriminal-law\u002Fpub-claude-anthropic\u002Fask-claude-criminal-law-related-questions) \u003Cbr>\n\n### 移民法\n[移民法领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fimmigration-law)\n[向Perplexity AI提问移民法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fimmigration-law\u002Fpub-perplexity\u002Fask-perplexity-ai-immigration-law-related-questions) \u003Cbr>\n[向Gemini提问移民法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fimmigration-law\u002Fpub-gemini-google\u002Fask-gemini-immigration-law-related-questions) \u003Cbr>\n[向ChatGPT提问移民法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fimmigration-law\u002Fpub-chatgpt-openai\u002Fask-chatgpt-immigration-law-related-questions) \u003Cbr>\n[向Gemini提问刑事法相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw\u002Fcriminal-law\u002Fpub-gemini-google\u002Fask-gemini-criminal-law-related-questions) \u003Cbr>\n\n\n## 金融领域AI：用户评分、评论与展示\n\n[金融领域最佳AI用户评分、评论与展示](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance) \u003Cbr>\n\n![图片文字](.\u002Fstore\u002Fai_for_finance.jpg \"金融领域AI评论与评分\")\n\n提示词（问题）\n- 您是股票投资专家，我将向您咨询几个问题。例如：“特斯拉是否值得买入？财报季结束后，我是否应该卖出英伟达的股票？”\n- 请扮演一名交易员，回答以下问题：“请总结英伟达2024财年第四季度GAAP财务报告中的各项数据，并将其市盈率与其他科技公司如谷歌和苹果进行比较。”\n- 请扮演一名金融分析师，绘制一张柱状图，比较谷歌、苹果、特斯拉、英伟达和微软的市值。\n\n\n### 投资金融领域的AI\n[投资金融领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finvestment) \u003Cbr>\n[向ChatGPT询问投资相关事实并寻求建议](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finvestment\u002Fpub-chatgpt-openai\u002Fask-chatgpt-facts-about-investment-and-seek-advice) \u003Cbr>\n[向Gemini询问投资相关事实并寻求建议](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finvestment\u002Fpub-gemini-google\u002Fask-gemini-facts-about-investment-and-seek-advice) \u003Cbr>\n[向Claude提问投资相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finvestment\u002Fpub-claude-anthropic\u002Fask-claude-investment-related-questions) \u003Cbr>\n[向Perplexity AI提问投资相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finvestment\u002Fpub-perplexity\u002Fask-perplexity-ai-investment-related-questions) \u003Cbr>\n\n\n### 保险金融领域的AI\n[保险金融领域最佳AI用户评分、评论与展示](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finsurance) \u003Cbr>\n[向Gemini提问保险相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finsurance\u002Fpub-gemini-google\u002Fask-gemini-insurance-related-questions) \u003Cbr>\n[向Perplexity AI提问保险相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finsurance\u002Fpub-perplexity\u002Fask-perplexity-ai-insurance-related-questions) \u003Cbr>\n[向ChatGPT提问保险相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finsurance\u002Fpub-chatgpt-openai\u002Fask-chatgpt-insurance-related-questions) \u003Cbr>\n[向Claude提问保险相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Finsurance\u002Fpub-claude-anthropic\u002Fask-claude-insurance-related-questions) \u003Cbr>\n\n### 抵押贷款与信贷金融中的AI\n[抵押贷款与信贷金融领域最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fmortgage-&-loan) \u003Cbr>\n[向ChatGPT提问抵押贷款与信贷相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fmortgage-&-loan\u002Fpub-chatgpt-openai\u002Fask-chatgpt-mortgage-&-loan-related-questions) \u003Cbr>\n[向Gemini提问抵押贷款与信贷相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fmortgage-&-loan\u002Fpub-chatgpt-openai\u002Fask-gemini-mortgage-&-loan-related-questions) \u003Cbr>\n[向Claude提问抵押贷款与信贷相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fmortgage-&-loan\u002Fpub-claude-anthropic\u002Fask-claude-mortgage-&-loan-related-questions) \u003Cbr>\n[向Perplexity AI提问抵押贷款与信贷相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fmortgage-&-loan\u002Fpub-perplexity\u002Fask-perplexity-ai-mortgage-&-loan-related-questions) \u003Cbr>\n\n\n### 银行业金融中的AI\n[银行业金融领域最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fbanking) \u003Cbr>\n[向Perplexity AI提问银行业相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fbanking\u002Fpub-perplexity\u002Fask-perplexity-ai-banking-related-questions) \u003Cbr>\n[向Gemini提问银行业相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fbanking\u002Fpub-gemini-google\u002Fask-gemini-banking-related-questions) \u003Cbr>\n[向ChatGPT提问银行业相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fbanking\u002Fpub-chatgpt-openai\u002Fask-chatgpt-banking-related-questions) \u003Cbr>\n[向Claude提问银行业相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fbanking\u002Fpub-claude-anthropic\u002Fask-claude-banking-related-questions) \u003Cbr>\n\n\n### 债务金融中的AI\n[债务金融领域最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fdebt) \u003Cbr>\n[向Claude提问债务相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fdebt\u002Fpub-claude-anthropic\u002Fask-claude-debt-related-questions) \u003Cbr>\n[向ChatGPT提问债务相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fdebt\u002Fpub-chatgpt-openai\u002Fask-chatgpt-debt-related-questions) \u003Cbr>\n[向Gemini提问债务相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fdebt\u002Fpub-gemini-google\u002Fask-gemini-debt-related-questions) \u003Cbr>\n[向Perplexity AI提问债务相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Ffinance\u002Fdebt\u002Fpub-perplexity\u002Fask-perplexity-ai-debt-related-questions) \u003Cbr>\n\n\n\n\n## 医疗健康领域的AI\n[医疗健康领域最佳AI：用户评分、评论与展示](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002F) \u003Cbr>\n\n### 医院预约\n[医院预约领域最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fhospital-appointment) \u003Cbr>\n[向Gemini提问医院预约相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fhospital-appointment\u002Fpub-gemini-google\u002Fask-gemini-hospital-appointment-related-questions) \u003Cbr>\n[向ChatGPT提问医院预约相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fhospital-appointment\u002Fpub-chatgpt-openai\u002Fask-chatgpt-hospital-appointment-related-questions) \u003Cbr>\n[向Perplexity AI提问医院预约相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fhospital-appointment\u002Fpub-perplexity\u002Fask-perplexity-ai-hospital-appointment-related-questions) \u003Cbr>\n[向Claude提问医院预约相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fhospital-appointment\u002Fpub-claude-anthropic\u002Fask-claude-hospital-appointment-related-questions) \u003Cbr>\n\n\n### 医院\n[医院医疗健康领域最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fhospital) \u003Cbr>\n\n\n### 疾病相关\n[疾病医疗健康领域最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fillness) \u003Cbr>\n[关于疾病的就医建议](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fillness\u002Fpub-chatgpt-openai\u002Fseeing-doctors-about-illness) \u003Cbr>\n[向Gemini提问患病时应避免的食物](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fillness\u002Fpub-gemini-google\u002Fask-gemini-food-to-avoid-about-illness) \u003Cbr>\n[向Perplexity AI提问疾病相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fillness\u002Fpub-perplexity\u002Fask-perplexity-ai-illness-related-questions) \u003Cbr>\n[向ChatGPT提问疾病相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fillness\u002Fpub-chatgpt-openai\u002Fask-chatgpt-illness-related-questions) \u003Cbr>\n[向Claude提问疾病相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fillness\u002Fpub-claude-anthropic\u002Fask-claude-illness-related-questions) \u003Cbr>\n\n\n### 药物\n[药物医疗健康领域最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedicine) \u003Cbr>\n[向ChatGPT提问药物相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedicine\u002Fpub-chatgpt-openai\u002Fask-chatgpt-medicine-related-questions) \u003Cbr>\n[向Perplexity AI提问药物相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedicine\u002Fpub-perplexity\u002Fask-perplexity-ai-medicine-related-questions) \u003Cbr>\n[向Gemini提问药物相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedicine\u002Fpub-gemini-google\u002Fask-gemini-medicine-related-questions) \u003Cbr>\n[向Claude提问药物相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedicine\u002Fpub-claude-anthropic\u002Fask-claude-medicine-related-questions) \u003Cbr>\n\n\n### 护理\n[护理医疗健康领域最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing) \u003Cbr>\n[向Gemini提问护理相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-gemini-google\u002Fask-gemini-nursing-related-questions) \u003Cbr>\n[向Claude提问护理相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-claude-anthropic\u002Fask-claude-nursing-related-questions) \u003Cbr>\n[向Perplexity AI提问护理相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-perplexity\u002Fask-perplexity-ai-nursing-related-questions) \u003Cbr>\n[向ChatGPT提问护理相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-chatgpt-openai\u002Fask-chatgpt-nursing-related-questions) \u003Cbr>\n\n\n\n### 美容\n[美容医疗健康领域最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing) \u003Cbr>\n[向Gemini提问护理相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-gemini-google\u002Fask-gemini-nursing-related-questions) \u003Cbr>\n[向Claude提问护理相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-claude-anthropic\u002Fask-claude-nursing-related-questions) \u003Cbr>\n[向Perplexity AI提问护理相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-perplexity\u002Fask-perplexity-ai-nursing-related-questions) \u003Cbr>\n[向ChatGPT提问护理相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fnursing\u002Fpub-chatgpt-openai\u002Fask-chatgpt-nursing-related-questions) \u003Cbr>\n\n### 老年护理\n[老年护理领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Felderly-care) \u003Cbr>\n[向Perplexity AI提问老年护理相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Felderly-care\u002Fpub-perplexity\u002Fask-perplexity-ai-elderly-care-related-questions) \u003Cbr>\n[向Gemini提问老年护理相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Felderly-care\u002Fpub-gemini-google\u002Fask-gemini-elderly-care-related-questions) \u003Cbr>\n[向ChatGPT提问老年护理相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Felderly-care\u002Fpub-chatgpt-openai\u002Fask-chatgpt-elderly-care-related-questions) \u003Cbr>\n[向Claude提问老年护理相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Felderly-care\u002Fpub-claude-anthropic\u002Fask-claude-elderly-care-related-questions) \u003Cbr>\n\n\n\n### 医疗器械\n[医疗器械领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedical-instrument) \u003Cbr>\n[向ChatGPT提问医疗器械相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedical-instrument\u002Fpub-chatgpt-openai\u002Fask-chatgpt-medical-instrument-related-questions) \u003Cbr>\n[向Claude提问医疗器械相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedical-instrument\u002Fpub-claude-anthropic\u002Fask-claude-medical-instrument-related-questions) \u003Cbr>\n[向Perplexity AI提问医疗器械相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedical-instrument\u002Fpub-perplexity\u002Fask-perplexity-ai-medical-instrument-related-questions) \u003Cbr>\n[向Gemini提问医疗器械相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhealthcare\u002Fmedical-instrument\u002Fpub-gemini-google\u002Fask-gemini-medical-instrument-related-questions) \u003Cbr>\n\n\n\n## 面向老年人的AI：用户评分、评论与展示\n[面向老年人的最佳AI用户评分、评论与展示](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly) \u003Cbr>\n\n提示（问题）示例\n服用[药物]有哪些副作用？\n我该如何管理[疾病]？\n\n例如：\n泰诺有哪些副作用？\n我该如何缓解关节炎疼痛？\n\n\n### 展示案例\n[老年人向Gemini提问个人爱好相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly\u002Fhobby\u002Fpub-gemini-google\u002Felderly-people-ask-gemini-personal-hobbies-related-questions) \u003Cbr>\n[老年人向Gemini提问法律问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly\u002Flegal\u002Fpub-gemini-google\u002Felderly-people-ask-gemini-legal-questions) \u003Cbr>\n[老年人向Gemini提问健康与医药相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly\u002Fhealth\u002Fpub-gemini-google\u002Felderly-people-ask-gemini-health-and-medicine-related-questions) \u003Cbr>\n[老年人向ChatGPT提问健康与医药相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly\u002Fhealth\u002Fpub-chatgpt-openai\u002Felderly-people-ask-chatgpt-health-and-medicine-related-questions) \u003Cbr>\n[老年人向Perplexity AI提问健康与医药相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly\u002Fhealth\u002Fpub-perplexity\u002Felderly-people-ask-perplexity-ai-health-and-medicine-related-questions) \u003Cbr>\n[老年人向Claude提问健康与医药相关问题](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felderly\u002Fhealth\u002Fpub-claude-anthropic\u002Felderly-people-ask-claude-health-and-medicine-related-questions) \u003Cbr>\n\n\n## 面向儿童的AI：用户评分、评论与展示\n\n[面向儿童的最佳AI用户评分、评论与展示](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fkids)\n\n提示（问题）示例\n\n### 儿童故事讲述\n1. 请给我4岁的女儿讲一个关于独角兽的睡前故事。\n2. 帮我写一个关于汪汪队立大功里的狗狗们对抗坏蛋的故事。\n\n### 绘画|AIGC\n1. 帮我画一张汪汪队立大功里的狗狗Chase驾驶警车的画面。\n2. 帮我画一张小猪佩奇在游泳池里玩耍的画面。\n\n展示案例\n[向Gemini请求讲一个睡前故事](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fkids\u002Fstory-telling\u002Fpub-gemini-google\u002Fask-gemini-to-tell-a-bedtime-story)\n[向Gemini请求绘制卡通人物](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fkids\u002Fdrawing\u002Fpub-gemini-google\u002Fask-gemini-to-draw-cartoon-characters)\n[向ChatGPT请求讲一个睡前故事](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fkids\u002Fstory-telling\u002Fpub-chatgpt-openai\u002Fask-chatgpt-to-tell-a-bedtime-story)\n[向ChatGPT请求绘制卡通角色](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fkids\u002Fdrawing\u002Fpub-chatgpt-openai\u002Fask-chatgpt-to-draw-cartoon-character)\n\n\n## 生活方式中的AI\n[生活方式领域最佳AI用户评分、评论与展示](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle)\n\n提示（问题）示例\n\n#### 模拟${角色}\n我希望你以${角色}的身份作出回应，使用${角色}的语气和方式来回答。请不要添加任何解释。我的第一句话是${your_question}。\n\n#### 展示案例\n[向ChatGPT请求扮演情侣关系中的恋人](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle\u002Frelationship\u002Fpub-chatgpt-openai\u002Fask-chatgpt-to-act-as-lovers-in-a-relationship) \u003Cbr>\n[向Gemini请求扮演情侣关系中的恋人](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle\u002Frelationship\u002Fpub-gemini-google\u002Fask-gemini-to-act-as-lovers-in-a-relationship) \u003Cbr>\n[向Character AI请求扮演情侣关系中的恋人](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle\u002Frelationship\u002Fpub-character-ai\u002Fask-character-ai-to-act-as-lovers-in-a-relationship) \u003Cbr>\n[向Douyin的Doubao请求扮演情侣关系中的恋人](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle\u002Frelationship\u002Fpub-doubao-douyin\u002Fask-doubao-to-act-as-lovers-in-a-relationship) \u003Cbr>\n[向阿里巴巴的Qwen AI请求扮演情侣关系中的恋人](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle\u002Frelationship\u002Fpub-qwen-alibaba\u002Fask-qwen-ai-from-alibaba-to-act-as-lovers-in-a-relationship) \u003Cbr>\n[向智谱AI请求扮演情侣关系中的恋人](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flifestyle\u002Frelationship\u002Fpub-zhipu-ai\u002Fask-zhipu-ai-to-act-as-lovers-in-a-relationship) \u003Cbr>\n\n## 生产力工具中的AI\n[生产力工具领域最佳AI用户评分、评论与展示](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool)\n\n![图片文字](.\u002Fstore\u002Fai_productivity_tool.jpg \"AI生产力工具\")\n\n### 写作工具\n[写作工具领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fwriting)\n\n### 研究分析\n[研究与分析领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fresearch-&-analysis)\n\n### 编程\n[编程领域的最佳AI](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fprogramming)\n\n提示：\n向我展示${编程语言}中${算法}的代码，无需解释。\n用${编程语言}编写实现${功能}的代码，无需解释。\n生成一个${描述}网站的${编程语言}代码，无需解释。\n从${数据源}中提取${统计量}，并以${格式}展示。\n\n例如：\n1. 向我展示KL散度的LaTeX代码。\n2. 编写Python代码实现快速排序。\n3. 生成一个社区网站登录页面的HTML代码，无需解释。\n4. 查找2023年美国各州的离婚率，并以表格和折线图的形式展示。\n\n\n#### 展示\n##### 编程\n[用于编程的Gemini](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fprogramming\u002Fpub-gemini-google\u002Fgemini-for-programming)\n[用于编程的ChatGPT](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fprogramming\u002Fpub-chatgpt-openai\u002Fchatgpt-for-programming)\n\n##### 绘图聊天\n[使用ChatGPT绘制数学函数图像](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fresearch-&-analysis\u002Fpub-chatgpt-openai\u002Fuse-chatgpt-to-draw-plot-of-math-function)\n##### 数据分析\n[使用Gemini进行数据分析](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fproductivity-tool\u002Fresearch-&-analysis\u002Fpub-gemini-google\u002Fuse-gemini-to-conduct-data-analysis)\n\n\n\n\n## 四足机器人评测\n[四足机器人评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fquadruped-robot) \u003Cbr>\n[波士顿动力Spot机器狗用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fquadruped-robot\u002Fquadruped-robot\u002Fpub-boston-dynamics\u002Fboston-dynamics-spot-robot-dog-customer-reviews) \u003Cbr>\n[Unitree Go2机器狗用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fquadruped-robot\u002Fquadruped-robot\u002Fpub-unitree\u002Funitree-go2-robot-dog-customer-reviews) \u003Cbr>\n[Anybotics机器狗用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fquadruped-robot\u002Fquadruped-robot\u002Fpub-anybotics\u002Fanybotics-robot-dog-customer-reviews) \u003Cbr>\n\n\n## 类人机器人评测\n[类人机器人评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhumanoid-robot) \u003Cbr>\n[Figure 02类人机器人用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhumanoid-robot\u002Fhumanoid-robot\u002Fpub-figure-ai\u002Ffigure-02-humanoid-robots-user-reviews) \u003Cbr>\n[Tesla Cybercab Robotaxi早期用户评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Frobotaxi\u002Frobotaxi\u002Fpub-tesla-cybercab\u002Ftesla-cybercab-robotaxi-user-reviews-from-earlybirds) \u003Cbr>\n[Tesla Optimus类人机器人评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fhumanoid-robot\u002Fhumanoid-robot\u002Fpub-tesla-optimus\u002Ftesla-optimus-humanoid-robots-reviews) \u003Cbr>\n\n## 无人出租车评测\n[无人出租车评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Frobotaxi) \u003Cbr>\n[乘坐Waymo无人出租车并写下您的评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Frobotaxi\u002Frobotaxi\u002Fpub-waymo-google\u002Ftake-a-ride-in-waymo-robotaxi-and-write-your-reviews) \u003Cbr>\n[乘坐百度Apollo无人出租车并写下您的评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Frobotaxi\u002Frobotaxi\u002Fpub-baidu-apollo\u002Ftake-a-ride-in-baidu-apollo-robotaxi-and-write-your-reviews) \u003Cbr>\n[使用特斯拉全自动驾驶FSD功能乘车](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Frobotaxi\u002Frobotaxi\u002Fpub-tesla\u002Ftake-a-ride-using-full-self-driving-fsd-ability-of-tesla) \u003Cbr>\n\n## 电动汽车评测\n[电动汽车评测](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felectric-vehicle) \u003Cbr>\n[宝马i4电动车车主评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felectric-vehicle\u002Felectric-vehicle\u002Fpub-bmw-i4\u002Fbmw-i4-ev-reviews-by-car-owners) \u003Cbr>\n[现代IONIQ 6电动车车主评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felectric-vehicle\u002Felectric-vehicle\u002Fpub-hyundai-ioniq-6\u002Fhyundai-ioniq-6-ev-reviews-by-car-owners) \u003Cbr>\n[比亚迪Seal电动车车主评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felectric-vehicle\u002Felectric-vehicle\u002Fpub-byd-seal\u002Fbyd-seal-ev-reviews-by-car-owners) \u003Cbr>\n[特斯拉Model 3电动车车主评价](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Felectric-vehicle\u002Felectric-vehicle\u002Fpub-tesla-model-3\u002Ftesla-model-3-ev-reviews-by-car-owners) \u003Cbr>\n\n\n## DeepNLP AI与机器人社区\n\n[DeepNLP AI与机器人社区，面向AI从业者](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion) \u003Cbr>\n[您是否愿意分享使用AI生产力工具（如AI写作编码助手）的经验？](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fwould-you-share-your-experience-using-ai-productivity-tools-such-as-ai-writing-coding-copilot) \u003Cbr>\n[您认为AI视频生成应用和工具有哪些必备功能？](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fwhat-are-the-features-you-need-for-ai-video-generator-apps-and-tools) \u003Cbr>\n[Runway、Luma、Pika、Kling等AI视频生成工具，哪一款最好？为什么？](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fwhich-one-is-the-best-ai-video-generator-runway-luma-pika-kling-and-why) \u003Cbr>\n[四足机器狗的典型应用场景有哪些？](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fwhat-are-the-typical-use-scenarios-of-quadruped-robot-dogs) \u003Cbr>\n[类人机器人丈夫投票：选出最受欢迎的外观](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fhumanoid-robot-husband-vote-for-the-most-popular-appearance-of-humanoid-robot-husband) \u003Cbr>\n[类人机器人妻子：您希望自己的机器人妻子长得像哪位女性？](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fhumanoid-robot-wife-who-would-you-choose-your-humanoid-robot-wife-to-look-like-human-females) \u003Cbr>\n[未来类人机器人应具备哪些最重要的功能？](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fwhat-are-the-most-important-features-humanoid-robot-should-have-in-the-future) \u003Cbr>\n[类人机器人的典型应用场景有哪些？](http:\u002F\u002Fwww.deepnlp.org\u002Fquestion\u002Fwhat-are-the-typical-use-cases-of-humanoid-robots) \u003Cbr>\n\n\n## DeepNLP智能体工具\n[AI智能体可视化评测：异步多智能体模拟](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fai-agent-visualization-review-asynchronous-multi-agent-simulation) \u003Cbr>\n[对话可视化智能体：面向AI系统的多模态可视化工具评述](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fdialogue-agent-multimodal-visualization-tools-for-ai-systems) \u003Cbr>\n\n## 相关博客\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F \u003Cbr>\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fequation\u002F \u003Cbr>\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fsearch\u002F \u003Cbr>\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fworkspace\u002Fai_courses\u002F \u003Cbr>\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fworkspace\u002Faigc_chart\u002F \u003Cbr>\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fworkspace\u002Fai_writer\u002F \u003Cbr>\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fworkspace\u002Fdetail\u002F \u003Cbr>\n[统计学方程公式](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fstatistics-equations-latex-code) \u003Cbr>\n[机器学习方程公式](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Flatex-code-machine-learning-equations) \u003Cbr>\n[多模态生成模型简介](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fintroduction-to-multimodal-generative-models) \u003Cbr>\n[生成式AI搜索引擎优化：如何提升你的内容](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fgenerative-ai-search-engine-optimization-how-to-improve-your-content) \u003Cbr>\n[儿童AI课程](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fhow-to-use-generative-ai-to-draw-paw-patrol-dog-skye) \u003Cbr>\n[时尚中的AI：如何辨别IWC沙夫豪森手表的真伪](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fhow-to-tell-iwc-schaffhausen-watches-real-or-fake-20-steps) \u003Cbr>\n[时尚中的AI：如何辨别芬迪包的真伪](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fhow-to-tell-fendi-bags-real-or-fake-20-steps) \u003Cbr>\n[时尚中的AI：如何辨别蔻驰包的真伪](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fhow-to-tell-coach-bags-real-or-fake-20-steps) \u003Cbr>\n[时尚中的AI：如何辨别普拉达包的真伪](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fhow-to-tell-prada-bags-real-or-fake-20-steps) \u003Cbr>\n[时尚中的AI：如何辨别古驰包的真伪](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F20-tricks-to-tell-gucci-bags-real-or-fake) \u003Cbr>\n[时尚中的AI：如何辨别迪奥包的真伪](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Ftell-dior-bags-real-or-fake-20-steps) \u003Cbr>\n[时尚中的AI：如何辨别爱马仕包的真伪](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F20-tricks-to-tell-hermes-bags-real-or-fake) \u003Cbr>\n[时尚中的AI：如何辨别香奈儿包的真伪](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F20-tricks-to-tell-chanel-bags-real-or-fake) \u003Cbr>\n[时尚中的AI：如何辨别路易威登包的真伪](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F20-tricks-to-tell-louis-vuitton-bags-real-or-fake) \u003Cbr>\n[时尚中的AI：如何辨别欧米茄手表的真伪](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F20-tricks-to-tell-if-omega-watch-is-real-or-fake) \u003Cbr>\n[时尚中的AI：如何辨别劳力士手表的真伪](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F20-tricks-to-tell-if-rolex-watch-is-real-or-fake) \u003Cbr>\n[DeepNLP评测小组](http:\u002F\u002Fwww.deepnlp.org\u002Freview) \u003Cbr>\n[DeepNLP汽车评测小组](http:\u002F\u002Fwww.deepnlp.org\u002Freview\u002Fcar) \u003Cbr>\n[DeepNLP电商评测小组](http:\u002F\u002Fwww.deepnlp.org\u002Freview\u002Fecommerce) \u003Cbr>\n[DeepNLP电商包包评测小组](http:\u002F\u002Fwww.deepnlp.org\u002Freview\u002Fecommerce\u002Fbag) \u003Cbr>\n[DeepNLP手表包包评测小组](http:\u002F\u002Fwww.deepnlp.org\u002Freview\u002Fecommerce\u002Fwatch) \u003Cbr>\n[DeepNLP电商品牌评测列表](http:\u002F\u002Fwww.deepnlp.org\u002Freview\u002Fecommerce\u002Fpub) \u003Cbr>\n[DeepNLP汽车品牌评测列表](http:\u002F\u002Fwww.deepnlp.org\u002Freview\u002Fcar\u002Fpub) \u003Cbr>\n[AI智能体可视化评测：异步多智能体仿真](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fai-agent-visualization-review-asynchronous-multi-agent-simulation) \u003Cbr>\n[对话可视化智能体：面向AI系统的多模态可视化工具评述](http:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Fdialogue-agent-multimodal-visualization-tools-for-ai-systems) \u003Cbr>\n[对话可视化工具](http:\u002F\u002Fwww.deepnlp.org\u002Fworkspace\u002Fdialogue_visualization) \u003Cbr>\n[智能体可视化工具](http:\u002F\u002Fwww.deepnlp.org\u002Fworkspace\u002Fagent_visualization) \u003Cbr>\n\n\n======================================================================================================================================================================================================\n\n# 截至2020年底，deepnlp库已归档，仅支持TensorFlow 1.13及以下版本。\n基于TensorFlow实现的深度学习自然语言处理流水线。本项目遵循“简单性”原则，旨在利用TensorFlow的深度学习库来构建全新的NLP流水线。您可以扩展该项目，使用自己的语料或语言训练模型。同时提供了中文语料的预训练模型。\n此外，还提供免费的RESTful NLP API服务。详情请访问：http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpipeline。\n\n简要介绍\n==================\n* [模块](#modules)\n* [安装](#installation)\n* [教程](#tutorial)\n    * [分词](#segmentation)\n    * [词性标注](#pos)\n    * [命名实体识别](#ner)\n    * [句法分析](#parsing) \n    * [流水线](#pipeline)\n    * [文本摘要](#textsum)\n    * [TextRank](#textrank)\n    * [TextCNN](#textcnn)\n    * [训练您自己的模型](#train-your-model)\n    * [Web API服务](#web-api-service)\n* [中文简介](#中文简介)\n* [安装说明](#安装说明)\n* [参考文献](#reference)\n\n模块\n========\n* NLP流水线模块：\n    * 分词\u002F标记化\n    * 词性标注（POS）\n    * 命名实体识别（NER）\n    * 句法分析（Parse）\n    * textsum：基于Seq2Seq-Attention机制的自动摘要模型\n    * textrank：提取最重要的句子\n    * textcnn：文档分类\n    * Web API：免费的TensorFlow驱动的Web API\n    * 计划中：自动摘要\n\n* 算法（紧跟当前最先进水平）：\n    * 分词：基于Python CRF++模块的线性链条件随机场（CRF）\n    * 词性标注：基于TensorFlow的LSTM\u002FBI-LSTM\u002FLSTM-CRF网络\n    * 命名实体识别：基于TensorFlow的LSTM\u002FBI-LSTM\u002FLSTM-CRF网络\n    * 句法分析：采用前馈神经网络的Arc-Standard系统\n    * 文本摘要：带有注意力机制的Seq2Seq模型\n    * TextCNN：卷积神经网络\n\n* 预训练模型：\n    * 中文：分词、词性标注、命名实体识别、句法分析（基于1998年《中国日报》语料）\n    * 特定领域的NER模型也一并提供：通用、娱乐、O2O等……欢迎贡献\n    * 英文：词性标注（基于Brown语料）\n    * 对于您的特定语言，您可以轻松使用脚本，结合您选择的语言语料来训练模型。\n\n安装\n================\n* 要求\n    * CRF++（>=0.54）\n    * TensorFlow（1.4）\n    * Python（已测试过python2.7和python3.6）\n本项目与最新的TensorFlow版本保持同步。\n对于TensorFlow（\u003C=0.12.0），请使用deepnlp \u003C=0.1.5版本。\nTensorFlow（1.0-1.3），请使用deepnlp = 0.1.6版本。\nTensorFlow（1.4），请使用deepnlp = 0.1.7版本。\n更多详情请参阅RELEASE.md文件。\n\n\n* 使用pip安装\n```python\n    # 在Linux系统上运行以下命令：\n    pip install deepnlp\n```\n由于软件包大小限制，英文词性标注模型以及特定领域的命名实体识别模型文件并未在PyPI上发布。\n您可以从GitHub下载预训练模型文件，并将其放置在您的安装目录...\u002Fsite-packages\u002F...\u002Fdeepnlp\u002F...中。\n模型文件路径：..\u002Fpos\u002Fckpt\u002Fen\u002Fpos.ckpt；..\u002Fner\u002Fckpt\u002Fzh\u002Fner.ckpt\n\n* 源码分发版，例如deepnlp-0.1.7.tar.gz：https:\u002F\u002Fpypi.python.org\u002Fpypi\u002Fdeepnlp\n\n```python\n    # 在Linux系统上运行以下命令：\n    tar zxvf deepnlp-0.1.7.tar.gz\n    cd deepnlp-0.1.7\n    python setup.py install\n```\n\n* 初始设置\n```python\n    # 使用脚本安装crf++0.58软件包\n    sh .\u002Fdeepnlp\u002Fsegment\u002Finstall_crfpp.sh\n    # 下载所有预训练模型\n    python .\u002Ftest\u002Ftest_install.py\n    \n    # 或者通过以下命令下载预训练模型：\n    import deepnlp\n    deepnlp.download('segment')\n    deepnlp.download('pos')\n    deepnlp.download('ner')\n    deepnlp.download('parse')\n\n```\n\n* 运行示例\n```python\n    # 进入.\u002Fdeepnlp\u002Ftest文件夹\n    cd test\n    python test_segment.py    # 分词\n    python test_pos_en.py       # 英文词性标注\n    python test_ner_zh.py       # 中文命名实体识别\n    python test_ner_domain.py   # 领域特定的命名实体识别模型\n    python test_ner_dict_udf.py # 加载用户自定义词典及UDF进行消歧义\n    python test_nn_parser.py    # 句法分析\n    python test_api_v1_module.py\n    python test_api_v1_pipeline.py\n```\n\n教程\n===========\n设置编码\n---------------\n设置编码\n对于Python2，其默认编码为ASCII而非Unicode，因此需使用__future__模块使其与Python3兼容。\n```python\n#coding=utf-8\nfrom __future__ import unicode_literals # 与Python3 Unicode兼容\n\n```\n\n下载预训练模型\n---------------\n下载预训练模型\n如果您通过pip安装了deepnlp，由于文件大小限制，预训练模型并不会随软件包一同分发。不过，您可以通过调用download函数来获取完整的“分词”、“词性标注”（英、中）、“命名实体识别”（中、娱乐、O2O）以及“文本摘要”模型。\n\n```python\nimport deepnlp\n# 下载所有模块\ndeepnlp.download()\n\n# 下载特定模块\ndeepnlp.download('segment')\ndeepnlp.download('pos')\ndeepnlp.download('ner')\ndeepnlp.download('parse')\n\n# 下载指定模块及领域特定模型\ndeepnlp.download(module = 'pos', name = 'en') \ndeepnlp.download(module = 'ner', name = 'zh_entertainment')\n\n```\n\n分词\n---------------\n分词模块\n```python\n#coding=utf-8\nfrom __future__ import unicode_literals\nfrom deepnlp import segmenter\n\ntokenizer = segmenter.load_model(name = 'zh_entertainment')\ntext = \"我刚刚在浙江卫视看了电视剧老九门，觉得陈伟霆很帅\"\nsegList = tokenizer.seg(text)\ntext_seg = \" \".join(segList)\n\n#结果\n# 我 刚刚 在 浙江卫视 看 了 电视剧 老九门 ， 觉得 陈伟霆 很 帅\n\n```\n\n词性标注\n-----\n词性标注\n```python\n#coding:utf-8\nfrom __future__ import unicode_literals\n\nimport deepnlp\ndeepnlp.download('pos')\n\n## 英文模型\nfrom deepnlp import pos_tagger\ntagger = pos_tagger.load_model(name = 'en')  # 加载英文模型，语言代码'en'，基于Brown语料库\n\ntext = \"I want to see a funny movie\"\nwords = text.split(\" \")     # Unicode编码\nprint (\" \".join(words))\n\ntagging = tagger.predict(words)\nfor (w,t) in tagging:\n    pair = w + \"\u002F\" + t\n    print (pair)\n    \n#结果\n#I\u002Fnn want\u002Fvb to\u002Fto see\u002Fvb a\u002Fat funny\u002Fjj movie\u002Fnn\n\n## 中文模型\nfrom deepnlp import segmenter\nfrom deepnlp import pos_tagger\ntagger = pos_tagger.load_model(name = 'zh') # 加载中文模型，语言代码'zh'，基于《中国日报》语料\n\ntext = \"我爱吃北京烤鸭\"\nwords = segmenter.seg(text) # 单词以Unicode编码\nprint (\" \".join(words))\n\ntagging = tagger.predict(words)  # 输入：Unicode编码\nfor (w,t) in tagging:\n    pair = w + \"\u002F\" + t\n    print (pair)\n\n#结果\n#我\u002Fr 爱\u002Fv 吃\u002Fv 北京\u002Fns 烤鸭\u002Fn\n\n```\n\n命名实体识别\n------------\n命名实体识别\n```python\n\nfrom __future__ import unicode_literals   # 与Python3 Unicode兼容\n\nimport deepnlp\ndeepnlp.download('ner')  # 如果是通过pip安装的，则从GitHub下载NER预训练模型\n\nfrom deepnlp import ner_tagger\n\n# 示例：娱乐模型\ntagger = ner_tagger.load_model(name = 'zh_entertainment')   # 基于LSTM的基础模型\n#加载娱乐词典\ntagger.load_dict(\"zh_entertainment\")\ntext = \"你 最近 在 看 胡歌 演的 猎场 吗 ?\"\nwords = text.split(\" \")\ntagset_entertainment = ['actor', 'role_name', 'teleplay', 'teleplay_tag']\ntagging = tagger.predict(words, tagset = tagset_entertainment)\nfor (w,t) in tagging:\n    pair = w + \"\u002F\" + t\n    print (pair)\n\n#结果\n#你\u002Fnt\n#最近\u002Fnt\n#在\u002Fnt\n#看\u002Fnt\n#胡歌\u002Factor\n#演的\u002Fnt\n#猎场\u002Fteleplay\n#吗\u002Fnt\n#?\u002Fnt\n\n```\n\n依存句法分析\n------------\n依存句法分析\n\n```python\n\nfrom __future__ import unicode_literals # 兼容Python3的Unicode编码\n\nfrom deepnlp import nn_parser\nparser = nn_parser.load_model(name = 'zh')\n\n#示例1，同时输入词和词性标注\nwords = ['它', '熟悉', '一个', '民族', '的', '历史']\ntags = ['r', 'v', 'm', 'n', 'u', 'n']\n\n#句法分析\ndep_tree = parser.predict(words, tags)\n\n#从Transition命名元组中获取结果\nnum_token = dep_tree.count()\nprint (\"id\\tword\\tpos\\thead\\tlabel\")\nfor i in range(num_token):\n    cur_id = int(dep_tree.tree[i+1].id)\n    cur_form = str(dep_tree.tree[i+1].form)\n    cur_pos = str(dep_tree.tree[i+1].pos)\n    cur_head = str(dep_tree.tree[i+1].head)\n    cur_label = str(dep_tree.tree[i+1].deprel)\n    print (\"%d\\t%s\\t%s\\t%s\\t%s\" % (cur_id, cur_form, cur_pos, cur_head, cur_label))\n\n# 结果\nid\tword\tpos\thead\tlabel\n1\t它\tr\t2\tSBV\n2\t熟悉\tv\t0\tHED\n3\t一个\tm\t4\tQUN\n4\t民族\tn\t5\tDE\n5\t的\tu\t6\tATT\n6\t历史\tn\t2\tVOB\n\n```\n\n\n流水线\n----------\n```python\n#coding:utf-8\nfrom __future__ import unicode_literals\n\nfrom deepnlp import pipeline\np = pipeline.load_model('zh')\n\n#分词\ntext = \"我爱吃北京烤鸭\"\nres = p.analyze(text)\n\nprint (res[0].encode('utf-8'))\nprint (res[1].encode('utf-8'))\nprint (res[2].encode('utf-8'))\n\nwords = p.segment(text)\npos_tagging = p.tag_pos(words)\nner_tagging = p.tag_ner(words)\n\nprint (pos_tagging.encode('utf-8'))\nprint (ner_tagging.encode('utf-8'))\n\n```\n\n文本摘要\n---------------\n自动文摘\n\n详情请见：[README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Ftextsum)\n\nTextRank\n---------------\n重要句子抽取\n\n详情请见：[README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Ftextrank)\n\nTextCNN（开发中）\n---------------\n文档分类\n\n\n训练你的模型\n--------------------\n自行训练模型\n###分词模型\n使用说明：[README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Fsegment)\n\n###词性标注模型\n使用说明：[README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Fpos)\n\n###命名实体识别模型\n使用说明：[README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Fner)\n\n###依存句法分析模型\n使用说明：[README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Fparse)\n\n###文本摘要模型\n使用说明：[README](https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Ftree\u002Fmaster\u002Fdeepnlp\u002Ftextsum)\n\nWeb API服务\n----------------\nwww.deepnlp.org 为句子和段落的常见NLP模块提供免费的Web API服务。\n这些API是基于预训练TensorFlow模型的RESTful接口。目前支持中文。\n\n* RESTful API\n    * 分词：  http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fsegment\u002F?lang=zh&text=我爱吃北京烤鸭\n    * 词性标注：           http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpos\u002F?lang=zh&text=我爱吃北京烤鸭\n    * 命名实体识别：           http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fner\u002F?lang=zh&text=我爱吃北京烤鸭\n    * 流水线：      http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpipeline\u002F?lang=zh&annotators=segment,pos,ner&text=我爱吃北京烤鸭\n\n#### 通过浏览器测试API，需先登录\n![图片](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Frockingdingo_deepnlp_readme_4291f6d872fe.jpg)\n\n#### 从Python调用API\n更多详情请参阅 .\u002Fdeepnlp\u002Ftest\u002Ftest_api_v1_module.py。\n\n```python\n#coding:utf-8\nfrom __future__ import unicode_literals\n\nimport json, requests, sys, os\nif (sys.version_info>(3,0)): from urllib.parse import quote \nelse : from urllib import quote\n\nfrom deepnlp import api_service\nlogin = api_service.init()          # 注册，若失败，则加载默认的空登录{}，权限受限\nconn = api_service.connect(login)   # 保存包含登录Cookie的连接\n\n# 示例URL\n# http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpipeline\u002F?lang=zh&annotators=segment,pos,ner&text=我爱吃上海小笼包\n\n# 定义文本和语言\ntext = (\"我爱吃上海小笼包\").encode(\"utf-8\")  # 将文本从Unicode转换为UTF-8字节\n\n# 设置词性标注的URL\nurl_pos = 'http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpos\u002F?\"+ \"lang=\" + quote('zh') + \"&text=\" + quote(text)\nweb = requests.get(url_pos, cookies = conn)\ntuples = json.loads(web.text)\nprint (tuples['pos_str'].encode('utf-8'))    # POS JSON {'pos_str', 'w1\u002Ft1 w2\u002Ft2'} 返回字符串\n\n```\n\n中文简介\n==========\ndeepnlp项目是一个基于TensorFlow平台的Python版NLP工具包，旨在将TensorFlow深度学习平台上的模块与最新算法相结合，\n提供NLP基础模块的支持，并扩展到更复杂的任务，如生成式文摘等。\n\n* NLP工具包模块\n    * 分词 Word Segmentation\u002FTokenization\n    * 词性标注 Part-of-speech (POS)\n    * 命名实体识别 Named-entity-recognition(NER)\n    * 依存句法分析 Dependency Parsing (Parse)\n    * 自动文摘 Textsum (Seq2Seq-Attention)\n    * 关键句子抽取 Textrank\n    * 文本分类 Textcnn (WIP)\n    * 可调用 Web Restful API\n    * 计划中：句法分析 Parsing\n\n* 算法实现\n    * 分词：线性链条件随机场 Linear Chain CRF，基于CRF++库实现\n    * 词性标注：单向LSTM\u002F双向BI-LSTM，基于TensorFlow实现\n    * 命名实体识别：单向LSTM\u002F双向BI-LSTM\u002FLSTM-CRF混合网络，基于TensorFlow实现\n    * 依存句法分析：基于arc-standard体系的神经网络解析器\n\n* 预训练模型\n    * 中文：基于人民日报语料和微博混合语料训练的分词、词性标注和实体识别模型\n\n\nAPI服务\n---------------\nhttp:\u002F\u002Fwww.deepnlp.org 出于技术交流的目的，提供免费的API接口，用于对文本和篇章进行深度学习NLP分析，简单注册后即可使用。\nAPI符合RESTful风格，内部使用的是基于TensorFlow预训练的深度学习模型。具体使用方法请参考博客：\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002Ftutorial-deepnlp-api\u002F\n\nAPI目前提供以下模块支持：\n* 分词：  http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fsegment\u002F?lang=zh&text=我爱吃北京烤鸭\n* 词性标注：           http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpos\u002F?lang=zh&text=我爱吃北京烤鸭\n* 命名实体识别：           http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fner\u002F?lang=zh&text=我爱吃北京烤鸭\n* 流水线：      http:\u002F\u002Fwww.deepnlp.org\u002Fapi\u002Fv1.0\u002Fpipeline\u002F?lang=zh&annotators=segment,pos,ner&text=我爱吃北京烤鸭\n\n安装说明\n=======\n* 需要\n    * CRF++ (>=0.54)         可从 https:\u002F\u002Ftaku910.github.io\u002Fcrfpp\u002F 下载安装\n    * Tensorflow(1.0)        该项目的TensorFlow函数会根据最新版本更新，目前支持Tensorflow 1.0版本，对于旧版本的Tensorflow(\u003C=0.12.0)，请使用 deepnlp \u003C=0.1.5版本，更多信息请查看 RELEASE.md\n\n* 使用pip安装\n```python\n    pip install deepnlp\n```\n\n* 从源码安装，下载deepnlp-0.1.7.tar.gz文件：https:\u002F\u002Fpypi.python.org\u002Fpypi\u002Fdeepnlp\n```python\n    # Linux，运行脚本：\n    tar zxvf deepnlp-0.1.7.tar.gz\n    cd deepnlp-0.1.7\n    python setup.py install\n```\n\n* 初始设置\n```python\n    # 运行脚本安装crf++0.58包\n    sh .\u002Fdeepnlp\u002Fsegment\u002Finstall_crfpp.sh\n    # 运行脚本下载预训练模型进行测试\n    python .\u002Ftest\u002Ftest_install.py\n```\n\n参考文献\n=======\n* CRF++软件包：\nhttps:\u002F\u002Ftaku910.github.io\u002Fcrfpp\u002F#download\n* TensorFlow：\nhttps:\u002F\u002Fwww.tensorflow.org\u002F\n* 使用CRF++进行分词的博客：\nhttp:\u002F\u002Fwww.52nlp.cn\u002F%E4%B8%AD%E6%96%87%E5%88%86%E8%AF%8D%E5%85%A5%E9%97%A8%E4%B9%8B%E5%AD%97%E6%A0%87%E6%B3%A8%E6%B3%954\n* 博客\nhttp:\u002F\u002Fwww.deepnlp.org\u002Fblog\u002F","# DeepNLP AI 应用商店快速上手指南\n\nDeepNLP 并非传统的代码库或命令行工具，而是一个**AI 服务评测与分享平台**（被誉为\"AI 界的大众点评”）。它允许用户从真实使用角度对各类 AI 服务（如 ChatGPT、Midjourney、机器人等）进行多维度评分、撰写详细评测并上传截图证据。本指南将帮助开发者快速了解如何利用该平台获取数据或贡献内容。\n\n## 环境准备\n\n由于 DeepNLP 主要是一个基于 Web 的交互平台，无需复杂的本地开发环境配置。\n\n*   **系统要求**：任意现代操作系统（Windows, macOS, Linux）。\n*   **前置依赖**：\n    *   现代浏览器（推荐 Chrome, Edge, Firefox 或 Safari）。\n    *   有效的互联网连接。\n    *   （可选）若需自动化抓取公开评测数据，需安装 Python 及 `requests` 或 `selenium` 库。\n\n## 安装\u002F访问步骤\n\n本平台无需本地安装，直接通过浏览器访问即可使用。\n\n1.  **访问官方网站**：\n    在浏览器地址栏输入以下网址：\n    ```text\n    http:\u002F\u002Fwww.deepnlp.org\u002Fstore\n    ```\n\n2.  **注册\u002F登录账号**：\n    *   点击页面右上角的登录\u002F注册按钮。\n    *   支持使用邮箱或第三方账号进行注册，以便发布评测和保存历史记录。\n\n3.  **（可选）数据获取工具准备**：\n    如果您希望以编程方式获取公开的评测数据用于分析，可在本地终端执行以下命令安装基础依赖：\n    ```bash\n    pip install requests beautifulsoup4\n    ```\n\n## 基本使用\n\n### 1. 浏览与检索 AI 服务\n平台覆盖了 30+ 个类别，包括 AI 图像生成、聊天机器人、医疗、法律、教育及机器人硬件等。\n\n*   **按类别浏览**：直接在首页点击对应分类链接，例如：\n    *   [AI 图像生成器](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator)\n    *   [AI 聊天助手](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fchatbot-assistant)\n    *   [AI 在法律领域的应用](http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Flaw)\n*   **查看特定厂商评测**：搜索具体产品，如 `ChatGPT`, `Midjourney`, `Tesla Optimus` 等，查看用户真实反馈。\n\n### 2. 提交多维度的评测（核心功能）\n作为开发者或用户，您可以针对某个 AI 服务的特定功能点提交详细评测：\n\n1.  **选择服务与功能**：找到目标服务（如 \"Grammarly\"），选择具体功能场景（如 \"修正论文语法错误\"）。\n2.  **上传证据**：上传对话截图或 AI 生成的图片作为评测依据。\n3.  **多维度打分**：\n    *   **总体评分**：1-5 星。\n    *   **细分维度**：根据功能类型，对 \"正确性 (Correctness)\"、\"有用性 (Helpfulness)\"、\"趣味性 (Interesting)\" 等进行打分。\n    *   **自定义维度**：针对图像生成可评价 \"清晰度\"、\"分辨率\"；针对文本可评价 \"简洁性\" 等。\n4.  **撰写评论**：输入详细的文字评价，描述使用体验。\n\n### 3. 对比不同 AI 服务\n平台提供直观的对比页面，帮助分析不同模型在相同任务下的表现差异。\n\n*   **访问对比页面**：例如对比 ChatGPT 与 Gemini：\n    ```text\n    http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fcompare\u002Fpub-chatgpt-openai-vs-pub-gemini-google\n    ```\n*   **查看维度分析**：在对比页中，您可以看到两者在准确性、响应速度等具体指标上的雷达图或分数对比。\n\n### 4. 程序化获取数据示例（Python）\n若需获取某页面的公开评测数据进行二次分析，可使用以下简单脚本：\n\n```python\nimport requests\nfrom bs4 import BeautifulSoup\n\nurl = \"http:\u002F\u002Fwww.deepnlp.org\u002Fstore\u002Fimage-generator\"\nheaders = {\n    \"User-Agent\": \"Mozilla\u002F5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\u002F537.36 (KHTML, like Gecko) Chrome\u002F91.0.4472.124 Safari\u002F537.36\"\n}\n\nresponse = requests.get(url, headers=headers)\n\nif response.status_code == 200:\n    soup = BeautifulSoup(response.text, 'html.parser')\n    # 解析逻辑需根据实际网页结构调整，此处仅为示例框架\n    print(\"成功获取页面内容，可开始解析评测数据...\")\nelse:\n    print(f\"请求失败，状态码：{response.status_code}\")\n```\n\n通过以上步骤，您可以充分利用 DeepNLP 平台发现优质 AI 服务、参考真实用户反馈，或为社区贡献宝贵的实测数据。","一家专注于老年健康管理的科技公司正在为银发族筛选合适的 AI 医疗咨询助手，以确保产品推荐的安全性与准确性。\n\n### 没有 deepnlp 时\n- 团队只能依赖学术论文中的通用基准测试，缺乏针对“老年人慢性病咨询”这一具体场景的真实用户反馈。\n- 难以评估不同 AI 在“医学术语通俗化”和“情感关怀”等细粒度维度上的表现，导致选型依据模糊。\n- 需要人工逐一注册并测试数十款 AI 服务，耗时数周且无法获取其他真实用户的避坑经验。\n- 缺乏可视化的多维度评分对比，无法向利益相关者直观展示为何选择某款特定模型。\n\n### 使用 deepnlp 后\n- 直接在 deepnlp 的\"AI in HEALTHCARE\"及\"AI for ELDERLY\"分类下，查阅大量真实用户关于医疗问答的详细评测与截图证据。\n- 利用“清晰度”、“帮助性”及自定义的“适老化程度”等多维度评分，精准锁定在解释病情时最耐心、准确的 AI 服务。\n- 通过社区分享的负面案例（如幻觉误导），快速排除存在安全隐患的模型，将选型周期从数周缩短至几天。\n- 参考平台上已有的深度使用报告，直接生成包含具体功能对比的决策文档，大幅提升内部沟通效率。\n\ndeepnlp 通过构建 AI 服务领域的“大众点评”，让基于真实场景的多维度评估取代了盲目的技术试错，显著降低了企业与个人的选型风险。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Frockingdingo_deepnlp_daaabd4a.png","rockingdingo","Derek","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002Frockingdingo_8e49f761.png","NLP, Deep Learning, Recommendation",null,"https:\u002F\u002Fgithub.com\u002Frockingdingo",[83,87,91],{"name":84,"color":85,"percentage":86},"Python","#3572A5",98.4,{"name":88,"color":89,"percentage":90},"Shell","#89e051",1.6,{"name":92,"color":93,"percentage":94},"HTML","#e34c26",0,1361,702,"2026-03-31T15:33:18","MIT",4,"","未说明",{"notes":103,"python":101,"dependencies":104},"根据提供的 README 内容，'deepnlp'在此处指代一个 AI 服务评论与评级平台（deepnlp.org\u002Fstore），而非一个需要本地部署运行的开源代码库或模型工具。文中主要介绍了该平台的功能（如用户评价、多维度评分、各类 AI 服务对比等）及其覆盖的类别（聊天机器人、图像生成、机器人等）。因此，文档中未包含任何关于操作系统、GPU、内存、Python 版本或依赖库的技术安装需求。用户只需通过浏览器访问网站即可使用，无需本地环境配置。",[],[18],"2026-03-27T02:49:30.150509","2026-04-14T04:45:36.555509",[109,114,119,124,129,134,139,144],{"id":110,"question_zh":111,"answer_zh":112,"source_url":113},32545,"如何在 Python 3 中正确使用分词功能（遇到 AttributeError: module 'deepnlp.segmenter' has no attribute 'seg'）？","在 Python 3 中，不能直接调用 segmenter.seg()。需要先加载模型，然后使用加载后的对象进行分词。具体代码如下：\nfrom deepnlp import segmenter\ntokenizer = segmenter.load_model(name='zh')\ntext = \"我爱吃北京烤鸭\"\nwords = tokenizer.seg(text)","https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Fissues\u002F45",{"id":115,"question_zh":116,"answer_zh":117,"source_url":118},32546,"运行 pos_tagger 时报错 'module 'tensorflow' has no attribute 'AUTO_REUSE'' 如何解决？","这是因为 TensorFlow 版本过低导致的。`tf.AUTO_REUSE` 是在 TensorFlow 1.4.0 中引入的。请将 TensorFlow 升级到 1.4.0 或更高版本即可解决该问题。","https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Fissues\u002F44",{"id":120,"question_zh":121,"answer_zh":122,"source_url":123},32547,"代码在 Python 2 和 Python 3 之间兼容性差，出现类型错误（TypeError）怎么办？","这是由于 Python 2 和 3 的字符串类型处理不同导致的。需要在代码中加入版本判断，Python 3 不需要对字符串进行 encode 操作。例如在 segmenter.py 中修改如下：\nfor char in text.strip():\n    char = char.strip()\n    if char:\n        input_char = (char + \"\\to\\tB\").encode('utf-8') if (version_info == \"py2\") else (char + \"\\to\\tB\")\n        model.add(input_char)","https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Fissues\u002F29",{"id":125,"question_zh":126,"answer_zh":127,"source_url":128},32548,"使用 TensorFlow 1.0 时出现 'AttributeError: module object has no attribute rnn_cell' 错误？","deepnlp 的旧版本（如 0.1.5）不支持 TensorFlow 1.0。请升级 deepnlp 到 0.1.6 或更高版本，该版本已兼容 TensorFlow 1.0 的函数接口。","https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Fissues\u002F3",{"id":130,"question_zh":131,"answer_zh":132,"source_url":133},32549,"运行文本摘要（textsum）模型时提示找不到 checkpoint 文件（Couldn't match files for checkpoint）？","这通常是因为模型数据文件未正确放置或损坏。请确保已下载对应的 .ckpt 数据文件（包括 .data 和 .index 文件），并将其放在代码指定的路径下（例如 ckpt\u002F 目录）。如果文件已存在但仍报错，可能是文件格式不匹配或损坏，建议重新下载模型文件。","https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Fissues\u002F5",{"id":135,"question_zh":136,"answer_zh":137,"source_url":138},32550,"NER（命名实体识别）模块使用的训练语料库在哪里获取？","原先使用的标注语料来自“数据堂”的 ITNLP 中文命名实体标注数据（160 万词）。但该数据可能已被下架。如果需要，可以尝试通过邮件联系项目维护者获取，或者自行寻找类似的公开中文 NER 数据集进行训练。","https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Fissues\u002F14",{"id":140,"question_zh":141,"answer_zh":142,"source_url":143},32551,"基于 LSTM 的 NER 模型参考了哪篇论文？","该项目中 LSTM 用于 NER 的实现参考了多篇文献，其中比较典型的一篇是：\"Neural Architectures for Named Entity Recognition\" (Lample et al., 2016)。论文链接：https:\u002F\u002Farxiv.org\u002Fpdf\u002F1508.01991v1.pdf","https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Fissues\u002F46",{"id":145,"question_zh":146,"answer_zh":147,"source_url":148},32552,"娱乐类型的 NER 模型无法使用，提示读取不到模型文件？","该问题是由于模型文件缺失或路径配置错误导致的。项目维护者已经更新了相关模型文件，请拉取最新代码或重新下载模型文件以确保包含娱乐类型的模型数据。","https:\u002F\u002Fgithub.com\u002Frockingdingo\u002Fdeepnlp\u002Fissues\u002F40",[]]