[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"similar-Jason2Brownlee--awesome-llm-books":3,"tool-Jason2Brownlee--awesome-llm-books":61},[4,18,26,36,44,52],{"id":5,"name":6,"github_repo":7,"description_zh":8,"stars":9,"difficulty_score":10,"last_commit_at":11,"category_tags":12,"status":17},4358,"openclaw","openclaw\u002Fopenclaw","OpenClaw 是一款专为个人打造的本地化 AI 助手，旨在让你在自己的设备上拥有完全可控的智能伙伴。它打破了传统 AI 助手局限于特定网页或应用的束缚，能够直接接入你日常使用的各类通讯渠道，包括微信、WhatsApp、Telegram、Discord、iMessage 等数十种平台。无论你在哪个聊天软件中发送消息，OpenClaw 都能即时响应，甚至支持在 macOS、iOS 和 Android 设备上进行语音交互，并提供实时的画布渲染功能供你操控。\n\n这款工具主要解决了用户对数据隐私、响应速度以及“始终在线”体验的需求。通过将 AI 部署在本地，用户无需依赖云端服务即可享受快速、私密的智能辅助，真正实现了“你的数据，你做主”。其独特的技术亮点在于强大的网关架构，将控制平面与核心助手分离，确保跨平台通信的流畅性与扩展性。\n\nOpenClaw 非常适合希望构建个性化工作流的技术爱好者、开发者，以及注重隐私保护且不愿被单一生态绑定的普通用户。只要具备基础的终端操作能力（支持 macOS、Linux 及 Windows WSL2），即可通过简单的命令行引导完成部署。如果你渴望拥有一个懂你",349277,3,"2026-04-06T06:32:30",[13,14,15,16],"Agent","开发框架","图像","数据工具","ready",{"id":19,"name":20,"github_repo":21,"description_zh":22,"stars":23,"difficulty_score":10,"last_commit_at":24,"category_tags":25,"status":17},3808,"stable-diffusion-webui","AUTOMATIC1111\u002Fstable-diffusion-webui","stable-diffusion-webui 是一个基于 Gradio 构建的网页版操作界面，旨在让用户能够轻松地在本地运行和使用强大的 Stable Diffusion 图像生成模型。它解决了原始模型依赖命令行、操作门槛高且功能分散的痛点，将复杂的 AI 绘图流程整合进一个直观易用的图形化平台。\n\n无论是希望快速上手的普通创作者、需要精细控制画面细节的设计师，还是想要深入探索模型潜力的开发者与研究人员，都能从中获益。其核心亮点在于极高的功能丰富度：不仅支持文生图、图生图、局部重绘（Inpainting）和外绘（Outpainting）等基础模式，还独创了注意力机制调整、提示词矩阵、负向提示词以及“高清修复”等高级功能。此外，它内置了 GFPGAN 和 CodeFormer 等人脸修复工具，支持多种神经网络放大算法，并允许用户通过插件系统无限扩展能力。即使是显存有限的设备，stable-diffusion-webui 也提供了相应的优化选项，让高质量的 AI 艺术创作变得触手可及。",162132,"2026-04-05T11:01:52",[14,15,13],{"id":27,"name":28,"github_repo":29,"description_zh":30,"stars":31,"difficulty_score":32,"last_commit_at":33,"category_tags":34,"status":17},1381,"everything-claude-code","affaan-m\u002Feverything-claude-code","everything-claude-code 是一套专为 AI 编程助手（如 Claude Code、Codex、Cursor 等）打造的高性能优化系统。它不仅仅是一组配置文件，而是一个经过长期实战打磨的完整框架，旨在解决 AI 代理在实际开发中面临的效率低下、记忆丢失、安全隐患及缺乏持续学习能力等核心痛点。\n\n通过引入技能模块化、直觉增强、记忆持久化机制以及内置的安全扫描功能，everything-claude-code 能显著提升 AI 在复杂任务中的表现，帮助开发者构建更稳定、更智能的生产级 AI 代理。其独特的“研究优先”开发理念和针对 Token 消耗的优化策略，使得模型响应更快、成本更低，同时有效防御潜在的攻击向量。\n\n这套工具特别适合软件开发者、AI 研究人员以及希望深度定制 AI 工作流的技术团队使用。无论您是在构建大型代码库，还是需要 AI 协助进行安全审计与自动化测试，everything-claude-code 都能提供强大的底层支持。作为一个曾荣获 Anthropic 黑客大奖的开源项目，它融合了多语言支持与丰富的实战钩子（hooks），让 AI 真正成长为懂上",145895,2,"2026-04-08T11:32:59",[14,13,35],"语言模型",{"id":37,"name":38,"github_repo":39,"description_zh":40,"stars":41,"difficulty_score":32,"last_commit_at":42,"category_tags":43,"status":17},2271,"ComfyUI","Comfy-Org\u002FComfyUI","ComfyUI 是一款功能强大且高度模块化的视觉 AI 引擎，专为设计和执行复杂的 Stable Diffusion 图像生成流程而打造。它摒弃了传统的代码编写模式，采用直观的节点式流程图界面，让用户通过连接不同的功能模块即可构建个性化的生成管线。\n\n这一设计巧妙解决了高级 AI 绘图工作流配置复杂、灵活性不足的痛点。用户无需具备编程背景，也能自由组合模型、调整参数并实时预览效果，轻松实现从基础文生图到多步骤高清修复等各类复杂任务。ComfyUI 拥有极佳的兼容性，不仅支持 Windows、macOS 和 Linux 全平台，还广泛适配 NVIDIA、AMD、Intel 及苹果 Silicon 等多种硬件架构，并率先支持 SDXL、Flux、SD3 等前沿模型。\n\n无论是希望深入探索算法潜力的研究人员和开发者，还是追求极致创作自由度的设计师与资深 AI 绘画爱好者，ComfyUI 都能提供强大的支持。其独特的模块化架构允许社区不断扩展新功能，使其成为当前最灵活、生态最丰富的开源扩散模型工具之一，帮助用户将创意高效转化为现实。",108111,"2026-04-08T11:23:26",[14,15,13],{"id":45,"name":46,"github_repo":47,"description_zh":48,"stars":49,"difficulty_score":10,"last_commit_at":50,"category_tags":51,"status":17},4487,"LLMs-from-scratch","rasbt\u002FLLMs-from-scratch","LLMs-from-scratch 是一个基于 PyTorch 的开源教育项目，旨在引导用户从零开始一步步构建一个类似 ChatGPT 的大型语言模型（LLM）。它不仅是同名技术著作的官方代码库，更提供了一套完整的实践方案，涵盖模型开发、预训练及微调的全过程。\n\n该项目主要解决了大模型领域“黑盒化”的学习痛点。许多开发者虽能调用现成模型，却难以深入理解其内部架构与训练机制。通过亲手编写每一行核心代码，用户能够透彻掌握 Transformer 架构、注意力机制等关键原理，从而真正理解大模型是如何“思考”的。此外，项目还包含了加载大型预训练权重进行微调的代码，帮助用户将理论知识延伸至实际应用。\n\nLLMs-from-scratch 特别适合希望深入底层原理的 AI 开发者、研究人员以及计算机专业的学生。对于不满足于仅使用 API，而是渴望探究模型构建细节的技术人员而言，这是极佳的学习资源。其独特的技术亮点在于“循序渐进”的教学设计：将复杂的系统工程拆解为清晰的步骤，配合详细的图表与示例，让构建一个虽小但功能完备的大模型变得触手可及。无论你是想夯实理论基础，还是为未来研发更大规模的模型做准备",90106,"2026-04-06T11:19:32",[35,15,13,14],{"id":53,"name":54,"github_repo":55,"description_zh":56,"stars":57,"difficulty_score":10,"last_commit_at":58,"category_tags":59,"status":17},4292,"Deep-Live-Cam","hacksider\u002FDeep-Live-Cam","Deep-Live-Cam 是一款专注于实时换脸与视频生成的开源工具，用户仅需一张静态照片，即可通过“一键操作”实现摄像头画面的即时变脸或制作深度伪造视频。它有效解决了传统换脸技术流程繁琐、对硬件配置要求极高以及难以实时预览的痛点，让高质量的数字内容创作变得触手可及。\n\n这款工具不仅适合开发者和技术研究人员探索算法边界，更因其极简的操作逻辑（仅需三步：选脸、选摄像头、启动），广泛适用于普通用户、内容创作者、设计师及直播主播。无论是为了动画角色定制、服装展示模特替换，还是制作趣味短视频和直播互动，Deep-Live-Cam 都能提供流畅的支持。\n\n其核心技术亮点在于强大的实时处理能力，支持口型遮罩（Mouth Mask）以保留使用者原始的嘴部动作，确保表情自然精准；同时具备“人脸映射”功能，可同时对画面中的多个主体应用不同面孔。此外，项目内置了严格的内容安全过滤机制，自动拦截涉及裸露、暴力等不当素材，并倡导用户在获得授权及明确标注的前提下合规使用，体现了技术发展与伦理责任的平衡。",88924,"2026-04-06T03:28:53",[14,15,13,60],"视频",{"id":62,"github_repo":63,"name":64,"description_en":65,"description_zh":66,"ai_summary_zh":66,"readme_en":67,"readme_zh":68,"quickstart_zh":69,"use_case_zh":70,"hero_image_url":71,"owner_login":72,"owner_name":73,"owner_avatar_url":74,"owner_bio":75,"owner_company":76,"owner_location":77,"owner_email":78,"owner_twitter":79,"owner_website":80,"owner_url":81,"languages":82,"stars":83,"forks":84,"last_commit_at":85,"license":82,"difficulty_score":86,"env_os":87,"env_gpu":88,"env_ram":88,"env_deps":89,"category_tags":92,"github_topics":93,"view_count":32,"oss_zip_url":82,"oss_zip_packed_at":82,"status":17,"created_at":99,"updated_at":100,"faqs":101,"releases":102},5566,"Jason2Brownlee\u002Fawesome-llm-books","awesome-llm-books","Awesome LLM Books: Curated list of books on Large Language Models","awesome-llm-books 是一个专为工程师精心整理的大语言模型（LLM）书籍清单。在 AI 技术飞速迭代的当下，开发者往往面临资料碎片化、质量参差不齐的困扰，难以系统性地掌握从理论原理到生产落地的全流程知识。这份清单直击痛点，筛选并收录了多本高质量技术专著，涵盖从零构建模型、AI 智能体开发、提示工程、微调优化以及 RAG 架构等核心议题。\n\n每本书籍均提供了作者、出版社、出版年份以及来自亚马逊和 Goodreads 的真实评分参考，并附带购买链接与配套的 GitHub 代码项目，方便读者理论与实践相结合。无论是希望深入理解底层算法的研究人员，还是致力于构建可靠生产级应用的软件开发者，都能在这里找到适合自己的进阶指南。通过汇聚这些经过验证的优质资源，awesome-llm-books 帮助大家高效搭建知识体系，避免在海量信息中盲目摸索，是 LLM 领域学习者案头必备的实用导航。","# Awesome LLM Books\n\nSome of us learn best by reading high quality books on technical topics.\n\nThis is a **curated list** of **books** for **engineers** on **development** with **Large Language Models** (LLMs).\n\n## Books:\n\nAlphabetical list of books on LLMs. Each cover\u002Ftitle links to more information about the book.\n\n| Cover | Details |\n|-------|---------|\n| [![AI Agents in Action](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_fdc40b348030.jpeg)](books\u002Fai-agents-in-action.md) | [AI Agents in Action](books\u002Fai-agents-in-action.md)\u003Cbr>**Authors**: Micheal Lanham\u003Cbr>**Publisher**: Manning, 2025\u003Cbr>**Star Rating**: 4.1 on Amazon, 3.3 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F42ZqojT), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F221160748-ai-agents-in-action), [Publisher](https:\u002F\u002Fwww.manning.com\u002Fbooks\u002Fai-agents-in-action), [GitHub Project](https:\u002F\u002Fgithub.com\u002Fcxbxmxcx\u002FGPT-Agents) |\n| [![AI Engineering](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_69f404ea5651.jpeg)](books\u002Fai-engineering.md) | [AI Engineering](books\u002Fai-engineering.md)\u003Cbr>**Subtitle**: Building Applications with Foundation Models\u003Cbr>**Authors**: Chip Huyen\u003Cbr>**Publisher**: O'Reilly, 2025\u003Cbr>**Star Rating**: 4.7 on Amazon, 4.46 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F3WpZ0Ia), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F216848047-ai-engineering), [Publisher](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fai-engineering\u002F9781098166298\u002F), [GitHub Project](https:\u002F\u002Fgithub.com\u002Fchiphuyen\u002Faie-book) |\n| [![Build a Large Language Model](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_554700290637.jpeg)](books\u002Fbuild-a-large-language-model.md) | [Build a Large Language Model](books\u002Fbuild-a-large-language-model.md)\u003Cbr>**Subtitle**: (From Scratch)\u003Cbr>**Authors**: Sebastian Raschka\u003Cbr>**Publisher**: Manning, 2024\u003Cbr>**Star Rating**: 4.6 on Amazon, 4.62 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F3JviKqV), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F219388329-build-a-large-language-model), [Publisher](https:\u002F\u002Fwww.manning.com\u002Fbooks\u002Fbuild-a-large-language-model-from-scratch), [GitHub Project](https:\u002F\u002Fgithub.com\u002Frasbt\u002FLLMs-from-scratch) |\n| [![Building LLM Powered Applications](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_3c333d743717.jpeg)](books\u002Fbuilding-llm-powered-applications.md) | [Building LLM Powered Applications](books\u002Fbuilding-llm-powered-applications.md)\u003Cbr>**Subtitle**: Create intelligent apps and agents with large language models\u003Cbr>**Authors**: Valentina Alto\u003Cbr>**Publisher**: Packt, 2024\u003Cbr>**Star Rating**: 4.2 on Amazon, 3.54 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F4oz7YyC), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F201054993-building-llm-powered-applications), [Publisher](https:\u002F\u002Fwww.packtpub.com\u002Fen-au\u002Fproduct\u002Fbuilding-llm-powered-applications-9781835462317), [GitHub Project](https:\u002F\u002Fgithub.com\u002FPacktPublishing\u002FBuilding-LLM-Powered-Applications) |\n| [![Building LLMs for Production](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_d1f25500b0a9.jpeg)](books\u002Fbuilding-llms-for-production.md) | [Building LLMs for Production](books\u002Fbuilding-llms-for-production.md)\u003Cbr>**Subtitle**: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG\u003Cbr>**Authors**: Louis-François Bouchard and Louie Peters\u003Cbr>**Publisher**: Independently published, 2024\u003Cbr>**Star Rating**: 4.4 on Amazon, 4.10 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F4oHqYvf), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F213731760-building-llms-for-production), [Publisher](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fbuilding-llms-for\u002F9798324731472\u002F) |\n| [![Creating Production-Ready LLMs](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_f6eea0c9adbf.jpeg)](books\u002Fcreating-production-ready-llms.md) | [Creating Production-Ready LLMs](books\u002Fcreating-production-ready-llms.md)\u003Cbr>**Subtitle**: A Comprehensive Guide to Building, Optimizing, and Deploying Large Language Models for Production Use\u003Cbr>**Authors**: TransformaTech Institute \u003Cbr>**Publisher**: Independently published, 2024\u003Cbr>**Star Rating**: 4.3 on Amazon, 0.00 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F48Mr6ou), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F219981025-creating-production-ready-llms), [Publisher](https:\u002F\u002Fwww.amazon.com.au\u002Fstores\u002Fauthor\u002FB0DJRMJX76\u002Fabout) |\n| [![Developing Apps with GPT-4 and ChatGPT](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_776e2cd897d8.jpeg)](books\u002Fdeveloping-apps-with-gpt-4-and-chatgpt.md) | [Developing Apps with GPT-4 and ChatGPT](books\u002Fdeveloping-apps-with-gpt-4-and-chatgpt.md)\u003Cbr>**Subtitle**: Build Intelligent Chatbots, Content Generators, and More\u003Cbr>**Authors**: Olivier Caelen and Marie-Alice Blete\u003Cbr>**Publisher**: O'Reilly, 2023\u003Cbr>**Star Rating**: 4.1 on Amazon, 3.67 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F4qr3gVr), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F181704874-developing-apps-with-gpt-4-and-chatgpt), [Publisher](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fdeveloping-apps-with\u002F9781098152475\u002F), [GitHub Project](https:\u002F\u002Fgithub.com\u002Fmalywut\u002Fgpt_examples) |\n| [![Generative AI on AWS](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_2b6b158b41f6.png)](books\u002Fgenerative-ai-on-aws.md) | [Generative AI on AWS](books\u002Fgenerative-ai-on-aws.md)\u003Cbr>**Subtitle**: Building Context-Aware Multimodal Reasoning Applications\u003Cbr>**Authors**: Chris Fregly, Antje Barth and Shelbee Eigenbrode \u003Cbr>**Publisher**: O'Reilly, 2023\u003Cbr>**Star Rating**: 4.4 on Amazon, 4.33 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F47Evip3), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F197525483-generative-ai-on-aws), [Publisher](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fgenerative-ai-on\u002F9781098159214\u002F), [GitHub Project](https:\u002F\u002Fgithub.com\u002Fgenerative-ai-on-aws\u002Fgenerative-ai-on-aws) |\n| [![Generative AI with LangChain](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_b772ead95c27.jpeg)](books\u002Fgenerative-ai-with-langchain.md) | [Generative AI with LangChain](books\u002Fgenerative-ai-with-langchain.md)\u003Cbr>**Subtitle**: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs\u003Cbr>**Authors**: Ben Auffarth\u003Cbr>**Publisher**: Packt, 2023\u003Cbr>**Star Rating**: 4.3 on Amazon, 3.58 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F3L9H8ig), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F185125672-generative-ai-with-langchain), [Publisher](https:\u002F\u002Fwww.packtpub.com\u002Fen-us\u002Fproduct\u002Fgenerative-ai-with-langchain-9781835083468), [GitHub Project](https:\u002F\u002Fgithub.com\u002Fbenman1\u002Fgenerative_ai_with_langchain) |\n| [![Hands-On Large Language Models](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_012d612473a6.jpeg)](books\u002Fhands-on-large-language-models.md) | [Hands-On Large Language Models](books\u002Fhands-on-large-language-models.md)\u003Cbr>**Subtitle**: Language Understanding and Generation\u003Cbr>**Authors**: Jay Alammar and Maarten Grootendorst\u003Cbr>**Publisher**: O'Reilly, 2024\u003Cbr>**Star Rating**: 4.7 on Amazon, 4.33 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F43stjBO), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F210408850-hands-on-large-language-models), [Publisher](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fhands-on-large-language\u002F9781098150952\u002F), [GitHub Project](https:\u002F\u002Fgithub.com\u002FHandsOnLLM\u002FHands-On-Large-Language-Models) |\n| [![LangChain Crash Course](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_8cd2f50948cf.jpeg)](books\u002Flangchain-crash-course.md) | [LangChain Crash Course](books\u002Flangchain-crash-course.md)\u003Cbr>**Subtitle**: Build OpenAI LLM powered Apps: Fast track to building OpenAI LLM powered Apps using Python\u003Cbr>**Authors**: Greg Lim\u003Cbr>**Publisher**: Independently Published, 2024\u003Cbr>**Star Rating**: 4.1 on Amazon, 4.00 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F3WpZfD4), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F198671257-langchain-crash-course), [Publisher](https:\u002F\u002Fgreglim.gumroad.com\u002Fl\u002Flangchain) |\n| [![Large Language Models](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_492a58580f53.jpeg)](books\u002Flarge-language-models.md) | [Large Language Models](books\u002Flarge-language-models.md)\u003Cbr>**Subtitle**: A Deep Dive: Bridging Theory and Practice\u003Cbr>**Authors**: Uday Kamath, Kevin Keenan, Garrett Somers, and Sarah Sorenson\u003Cbr>**Publisher**: Springer, 2024\u003Cbr>**Star Rating**: 4.4 on Amazon, 4.33 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F4ni6d8h), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F214355031-large-language-models), [Publisher](https:\u002F\u002Flink.springer.com\u002Fbook\u002F10.1007\u002F978-3-031-65647-7), [GitHub Project](https:\u002F\u002Fgithub.com\u002Fspringer-llms-deep-dive\u002Fllms-deep-dive-tutorials) |\n| [![LLM Engineer's Handbook](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_6a1fdd92cc60.jpeg)](books\u002Fllm-engineer's-handbook.md) | [LLM Engineer's Handbook](books\u002Fllm-engineer's-handbook.md)\u003Cbr>**Subtitle**: Master the art of engineering large language models from concept to production\u003Cbr>**Authors**: Paul Iusztin and Maxime Labonne\u003Cbr>**Publisher**: Packt, 2024\u003Cbr>**Star Rating**: 4.6 on Amazon, 3.85 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F4htSycL), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F216193554-llm-engineer-s-handbook), [Publisher](https:\u002F\u002Fwww.packtpub.com\u002Fen-au\u002Fproduct\u002Fllm-engineers-handbook-9781836200062), [GitHub Project](https:\u002F\u002Fgithub.com\u002FPacktPublishing\u002FLLM-Engineers-Handbook) |\n| [![LLMs in Production](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_5e18d356ebcc.jpeg)](books\u002Fllms-in-production.md) | [LLMs in Production](books\u002Fllms-in-production.md)\u003Cbr>**Subtitle**: From language models to successful products\u003Cbr>**Authors**: Christopher Brousseau and Matthew Sharp\u003Cbr>**Publisher**: Manning, 2025\u003Cbr>**Star Rating**: 4.6 on Amazon, 4.05 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F47ng1YB), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F215144443-llms-in-production), [Publisher](https:\u002F\u002Fwww.manning.com\u002Fbooks\u002Fllms-in-production), [GitHub Project](https:\u002F\u002Fgithub.com\u002FIMJONEZZ\u002FLLMs-in-Production) |\n| [![Natural Language Processing with Transformers](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_07f394761c0f.jpeg)](books\u002Fnatural-language-processing-with-transformers.md) | [Natural Language Processing with Transformers](books\u002Fnatural-language-processing-with-transformers.md)\u003Cbr>**Subtitle**: Building Language Applications with Hugging Face\u003Cbr>**Authors**: Lewis Tunstall, Leandro von Werra and Thomas Wolf\u003Cbr>**Publisher**: O'Reilly, 2022\u003Cbr>**Star Rating**: 4.6 on Amazon, 4.39 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F3JrAhjO), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F60114857-natural-language-processing-with-transformers), [Publisher](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fnatural-language-processing\u002F9781098136789\u002F), [GitHub Project](https:\u002F\u002Fgithub.com\u002Fnlp-with-transformers\u002Fnotebooks) |\n| [![Prompt Engineering for Generative AI](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_a9612c23e3af.png)](books\u002Fprompt-engineering-for-generative-ai.md) | [Prompt Engineering for Generative AI](books\u002Fprompt-engineering-for-generative-ai.md)\u003Cbr>**Subtitle**: Future-Proof Inputs for Reliable AI Outputs\u003Cbr>**Authors**: James Phoenix and Mike Taylor\u003Cbr>**Publisher**: O'Reilly, 2024\u003Cbr>**Star Rating**: 4.5 on Amazon, 3.62 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F4oEZc2o), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F204133880-prompt-engineering-for-generative-ai), [Publisher](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fprompt-engineering-for\u002F9781098153427\u002F), [GitHub Project](https:\u002F\u002Fgithub.com\u002FBrightPool\u002Fprompt-engineering-for-generative-ai-examples) |\n| [![Prompt Engineering for LLMs](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_13f711a0d286.jpeg)](books\u002Fprompt-engineering-for-llms.md) | [Prompt Engineering for LLMs](books\u002Fprompt-engineering-for-llms.md)\u003Cbr>**Subtitle**: The Art and Science of Building Large Language Model–Based Applications\u003Cbr>**Authors**: John Berryman and Albert Ziegler\u003Cbr>**Publisher**: O'Reilly, 2024\u003Cbr>**Star Rating**: 4.1 on Amazon, 4.29 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F4o1PQhb), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F213739653-prompt-engineering-for-llms), [Publisher](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fprompt-engineering-for\u002F9781098156145\u002F) |\n| [![Quick Start Guide to Large Language Models](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_bc50db80b858.jpeg)](books\u002Fquick-start-guide-to-large-language-models.md) | [Quick Start Guide to Large Language Models](books\u002Fquick-start-guide-to-large-language-models.md)\u003Cbr>**Subtitle**: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI\u003Cbr>**Authors**: Sinan Ozdemir \u003Cbr>**Publisher**: Addison-Wesley, 2024\u003Cbr>**Star Rating**: 4.4 on Amazon, 3.64 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F4oF2hj1), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F126850297-quick-start-guide-to-large-language-models), [Publisher](https:\u002F\u002Fwww.pearson.com\u002Fen-us\u002Fsubject-catalog\u002Fp\u002Fquick-start-guide-to-large-language-models-2nd-edition\u002FP200000012793), [GitHub Project](https:\u002F\u002Fgithub.com\u002Fsinanuozdemir\u002Fquick-start-guide-to-llms) |\n| [![RAG-Driven Generative AI](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_2ea2cac18ce6.jpeg)](books\u002Frag-driven-generative-ai.md) | [RAG-Driven Generative AI](books\u002Frag-driven-generative-ai.md)\u003Cbr>**Subtitle**: Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone\u003Cbr>**Authors**: Denis Rothman\u003Cbr>**Publisher**: Packt, 2024\u003Cbr>**Star Rating**: 4.1 on Amazon, 3.72 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F42Zn5Jv), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F214330235-rag-driven-generative-ai), [Publisher](https:\u002F\u002Fwww.packtpub.com\u002Fen-us\u002Fproduct\u002Frag-driven-generative-ai-9781836200918), [GitHub Project](https:\u002F\u002Fgithub.com\u002FDenis2054\u002FRAG-Driven-Generative-AI) |\n| [![Super Study Guide](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_782e4062ed2b.jpeg)](books\u002Fsuper-study-guide.md) | [Super Study Guide](books\u002Fsuper-study-guide.md)\u003Cbr>**Subtitle**: Transformers & Large Language Models\u003Cbr>**Authors**: Afshine Amidi and Shervine Amidi \u003Cbr>**Publisher**: Independently published, 2024\u003Cbr>**Star Rating**: 4.6 on Amazon, 4.62 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F4qJrXwP), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F217141763-super-study-guide), [Publisher](https:\u002F\u002Fsuperstudy.guide\u002Ftransformers-large-language-models\u002F) |\n| [![The Agentic AI Bible](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_7661e8e89511.jpeg)](books\u002Fthe-agentic-ai-bible.md) | [The Agentic AI Bible](books\u002Fthe-agentic-ai-bible.md)\u003Cbr>**Subtitle**: The Complete and Up-to-Date Guide to Design, Build, and Scale Goal-Driven, LLM-Powered Agents that Think, Execute and Evolve\u003Cbr>**Authors**: Thomas R. Caldwell\u003Cbr>**Publisher**: Independently published, 2025\u003Cbr>**Star Rating**: 4.7 on Amazon, 3.67 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F3L6prAo), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F239144737-the-agentic-ai-bible) |\n| [![The Developer's Playbook for Large Language Model Security](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_c3e38e9f66a6.jpeg)](books\u002Fthe-developer's-playbook-for-large-language-model-security.md) | [The Developer's Playbook for Large Language Model Security](books\u002Fthe-developer's-playbook-for-large-language-model-security.md)\u003Cbr>**Subtitle**: Building Secure AI Applications\u003Cbr>**Authors**: Steve Wilson\u003Cbr>**Publisher**: O'Reilly, 2024\u003Cbr>**Star Rating**: 4.7 on Amazon, 3.86 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F47GvtjK), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F210408897-the-developer-s-playbook-for-large-language-model-security), [Publisher](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fthe-developers-playbook\u002F9781098162191\u002F) |\n| [![The Hundred-Page Language Models Book](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_ac8472a3ec97.jpeg)](books\u002Fthe-hundred-page-language-models-book.md) | [The Hundred-Page Language Models Book](books\u002Fthe-hundred-page-language-models-book.md)\u003Cbr>**Subtitle**: Hands-on with PyTorch\u003Cbr>**Authors**: Andriy Burkov\u003Cbr>**Publisher**: True Positive Inc., 2025\u003Cbr>**Star Rating**: 4.8 on Amazon, 4.5 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F4qqmtqt), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F223643924-the-hundred-page-language-models-book), [Publisher](https:\u002F\u002Fwww.thelmbook.com), [GitHub Project](https:\u002F\u002Fgithub.com\u002Faburkov\u002FtheLMbook) |\n| [![What Is ChatGPT Doing...](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_700633efed2f.jpeg)](books\u002Fwhat-is-chatgpt-doing....md) | [What Is ChatGPT Doing...](books\u002Fwhat-is-chatgpt-doing....md)\u003Cbr>**Subtitle**: ...and Why Does It Work?\u003Cbr>**Authors**: Stephen Wolfram\u003Cbr>**Publisher**: Wolfram Media Inc., 2023\u003Cbr>**Star Rating**: 4.2 on Amazon, 3.86 on Goodreads \u003Cbr>**Links**: [Amazon](https:\u002F\u002Famzn.to\u002F4o0DjdO), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F123451665-what-is-chatgpt-doing-and-why-does-it-work), [Publisher](https:\u002F\u002Fwritings.stephenwolfram.com\u002F2023\u002F02\u002Fwhat-is-chatgpt-doing-and-why-does-it-work\u002F) |\n\n### On Curation\n\nThe above list is not \"all books on LLM development\", instead it is filtered using the following procedure:\n\n1. Create a master list of all known books on LLM development (amazon, goodreads, google books, etc.)\n2. Read book blurb and table of contents to confirm relevance (for \"engineers doing LLM development\").\n3. Read reviews and check star ratings for quality (quality check).\n4. Read comments and discussion about the book on social (twitter\u002Freddit\u002Fetc).\n5. Acquire the ebook version of the book, if possible (final read\u002Fskim to confirm relevance and quality).\n6. Final judgement call (publisher, gut check).\n\nNote that I update the list based on newly published books and emails I received about new books. Additionally, listed star ratings are updated periodically.\n\n### Make The List Better\n\nDo you have ideas on how we make this list more awesome?\n\nEmail any time: Jason.Brownlee05@gmail.com\n\nDisclaimer: As an Amazon Associate I earn from qualifying purchases. This means that when you buy through my links, I may earn a commission.","# 超棒的大语言模型书籍\n\n我们当中有些人通过阅读高质量的技术书籍来学习效果最佳。\n\n这是一份为**工程师**准备的、关于使用**大语言模型**（LLMs）进行**开发**的**精选书单**。\n\n## 书籍：\n\n按字母顺序排列的大语言模型相关书籍列表。每本书的封面或标题都链接到该书的更多信息。\n\n| 封面 | 详情 |\n|-------|---------|\n| [![AI智能体实战](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_fdc40b348030.jpeg)](books\u002Fai-agents-in-action.md) | [AI智能体实战](books\u002Fai-agents-in-action.md)\u003Cbr>**作者**: Micheal Lanham\u003Cbr>**出版社**: Manning, 2025年\u003Cbr>**评分**: Amazon 4.1分，Goodreads 3.3分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F42ZqojT), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F221160748-ai-agents-in-action), [出版社](https:\u002F\u002Fwww.manning.com\u002Fbooks\u002Fai-agents-in-action), [GitHub项目](https:\u002F\u002Fgithub.com\u002Fcxbxmxcx\u002FGPT-Agents) |\n| [![AI工程](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_69f404ea5651.jpeg)](books\u002Fai-engineering.md) | [AI工程](books\u002Fai-engineering.md)\u003Cbr>**副标题**: 使用基础模型构建应用\u003Cbr>**作者**: Chip Huyen\u003Cbr>**出版社**: O'Reilly, 2025年\u003Cbr>**评分**: Amazon 4.7分，Goodreads 4.46分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F3WpZ0Ia), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F216848047-ai-engineering), [出版社](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fai-engineering\u002F9781098166298\u002F), [GitHub项目](https:\u002F\u002Fgithub.com\u002Fchiphuyen\u002Faie-book) |\n| [![从零构建大型语言模型](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_554700290637.jpeg)](books\u002Fbuild-a-large-language-model.md) | [从零构建大型语言模型](books\u002Fbuild-a-large-language-model.md)\u003Cbr>**副标题**: (从头开始)\u003Cbr>**作者**: Sebastian Raschka\u003Cbr>**出版社**: Manning, 2024年\u003Cbr>**评分**: Amazon 4.6分，Goodreads 4.62分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F3JviKqV), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F219388329-build-a-large-language-model), [出版社](https:\u002F\u002Fwww.manning.com\u002Fbooks\u002Fbuild-a-large-language-model-from-scratch), [GitHub项目](https:\u002F\u002Fgithub.com\u002Frasbt\u002FLLMs-from-scratch) |\n| [![构建基于LLM的应用程序](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_3c333d743717.jpeg)](books\u002Fbuilding-llm-powered-applications.md) | [构建基于LLM的应用程序](books\u002Fbuilding-llm-powered-applications.md)\u003Cbr>**副标题**: 使用大型语言模型创建智能应用和智能体\u003Cbr>**作者**: Valentina Alto\u003Cbr>**出版社**: Packt, 2024年\u003Cbr>**评分**: Amazon 4.2分，Goodreads 3.54分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F4oz7YyC), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F201054993-building-llm-powered-applications), [出版社](https:\u002F\u002Fwww.packtpub.com\u002Fen-au\u002Fproduct\u002Fbuilding-llm-powered-applications-9781835462317), [GitHub项目](https:\u002F\u002Fgithub.com\u002FPacktPublishing\u002FBuilding-LLM-Powered-Applications) |\n| [![生产环境中的LLM构建](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_d1f25500b0a9.jpeg)](books\u002Fbuilding-llms-for-production.md) | [生产环境中的LLM构建](books\u002Fbuilding-llms-for-production.md)\u003Cbr>**副标题**: 通过提示工程、微调和RAG提升LLM的能力与可靠性\u003Cbr>**作者**: Louis-François Bouchard 和 Louie Peters\u003Cbr>**出版社**: 自主出版，2024年\u003Cbr>**评分**: Amazon 4.4分，Goodreads 4.10分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F4oHqYvf), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F213731760-building-llms-for-production), [出版社](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fbuilding-llms-for\u002F9798324731472\u002F) |\n| 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Olivier Caelen 和 Marie-Alice Blete\u003Cbr>**出版社**: O'Reilly, 2023年\u003Cbr>**评分**: Amazon 4.1分，Goodreads 3.67分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F4qr3gVr), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F181704874-developing-apps-with-gpt-4-and-chatgpt), [出版社](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fdeveloping-apps-with\u002F9781098152475\u002F), [GitHub项目](https:\u002F\u002Fgithub.com\u002Fmalywut\u002Fgpt_examples) |\n| [![AWS上的生成式AI](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_2b6b158b41f6.png)](books\u002Fgenerative-ai-on-aws.md) | [AWS上的生成式AI](books\u002Fgenerative-ai-on-aws.md)\u003Cbr>**副标题**: 构建上下文感知的多模态推理应用\u003Cbr>**作者**: Chris Fregly、Antje Barth 和 Shelbee Eigenbrode \u003Cbr>**出版社**: O'Reilly, 2023年\u003Cbr>**评分**: Amazon 4.4分，Goodreads 4.33分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F47Evip3), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F197525483-generative-ai-on-aws), [出版社](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fgenerative-ai-on\u002F9781098159214\u002F), [GitHub项目](https:\u002F\u002Fgithub.com\u002Fgenerative-ai-on-aws\u002Fgenerative-ai-on-aws) |\n| [![使用LangChain的生成式AI](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_b772ead95c27.jpeg)](books\u002Fgenerative-ai-with-langchain.md) | [使用LangChain的生成式AI](books\u002Fgenerative-ai-with-langchain.md)\u003Cbr>**副标题**: 使用Python、ChatGPT及其他LLM构建大型语言模型应用\u003Cbr>**作者**: Ben Auffarth\u003Cbr>**出版社**: Packt, 2023年\u003Cbr>**评分**: Amazon 4.3分，Goodreads 3.58分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F3L9H8ig), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F185125672-generative-ai-with-langchain), [出版社](https:\u002F\u002Fwww.packtpub.com\u002Fen-us\u002Fproduct\u002Fgenerative-ai-with-langchain-9781835083468), [GitHub项目](https:\u002F\u002Fgithub.com\u002Fbenman1\u002Fgenerative_ai_with_langchain) |\n| [![动手实践大型语言模型](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_012d612473a6.jpeg)](books\u002Fhands-on-large-language-models.md) | [动手实践大型语言模型](books\u002Fhands-on-large-language-models.md)\u003Cbr>**副标题**: 语言理解与生成\u003Cbr>**作者**: Jay Alammar 和 Maarten Grootendorst\u003Cbr>**出版社**: O'Reilly, 2024年\u003Cbr>**评分**: Amazon 4.7分，Goodreads 4.33分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F43stjBO), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F210408850-hands-on-large-language-models), [出版社](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fhands-on-large-language\u002F9781098150952\u002F), [GitHub项目](https:\u002F\u002Fgithub.com\u002FHandsOnLLM\u002FHands-On-Large-Language-Models) |\n| 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4.33分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F4ni6d8h), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F214355031-large-language-models), [出版社](https:\u002F\u002Flink.springer.com\u002Fbook\u002F10.1007\u002F978-3-031-65647-7), [GitHub项目](https:\u002F\u002Fgithub.com\u002Fspringer-llms-deep-dive\u002Fllms-deep-dive-tutorials) |\n| [![LLM工程师手册](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_6a1fdd92cc60.jpeg)](books\u002Fllm-engineer's-handbook.md) | [LLM工程师手册](books\u002Fllm-engineer's-handbook.md)\u003Cbr>**副标题**: 掌握从概念到生产的大型语言模型工程艺术\u003Cbr>**作者**: Paul Iusztin 和 Maxime Labonne\u003Cbr>**出版社**: Packt, 2024年\u003Cbr>**评分**: Amazon 4.6分，Goodreads 3.85分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F4htSycL), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F216193554-llm-engineers-handbook), [出版社](https:\u002F\u002Fwww.packtpub.com\u002Fen-au\u002Fproduct\u002Fllm-engineers-handbook-9781836200062), [GitHub项目](https:\u002F\u002Fgithub.com\u002FPacktPublishing\u002FLLM-Engineers-Handbook) |\n| [![LLM在生产中的应用](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_5e18d356ebcc.jpeg)](books\u002Fllms-in-production.md) | [LLM在生产中的应用](books\u002Fllms-in-production.md)\u003Cbr>**副标题**: 从语言模型到成功产品\u003Cbr>**作者**: Christopher Brousseau 和 Matthew Sharp\u003Cbr>**出版社**: Manning, 2025年\u003Cbr>**评分**: Amazon 4.6分，Goodreads 4.05分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F47ng1YB), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F215144443-llms-in-production), [出版社](https:\u002F\u002Fwww.manning.com\u002Fbooks\u002Fllms-in-production), [GitHub项目](https:\u002F\u002Fgithub.com\u002FIMJONEZZ\u002FLLMs-in-Production) |\n| 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[LLM的提示工程](books\u002Fprompt-engineering-for-llms.md)\u003Cbr>**副标题**: 构建基于大型语言模型的应用的艺术与科学\u003Cbr>**作者**: John Berryman 和 Albert Ziegler\u003Cbr>**出版社**: O'Reilly, 2024年\u003Cbr>**评分**: Amazon 4.1分，Goodreads 4.29分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F4o1PQhb), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F213739653-prompt-engineering-for-llms), [出版社](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fprompt-engineering-for\u002F9781098156145\u002F) |\n| [![大型语言模型快速入门指南](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_bc50db80b858.jpeg)](books\u002Fquick-start-guide-to-large-language-models.md) | [大型语言模型快速入门指南](books\u002Fquick-start-guide-to-large-language-models.md)\u003Cbr>**副标题**: ChatGPT、嵌入、微调和多模态AI的策略与最佳实践\u003Cbr>**作者**: Sinan Ozdemir \u003Cbr>**出版社**: Addison-Wesley, 2024年\u003Cbr>**评分**: Amazon 4.4分，Goodreads 3.64分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F4oF2hj1), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F126850297-quick-start-guide-to-large-language-models), [出版社](https:\u002F\u002Fwww.pearson.com\u002Fen-us\u002Fsubject-catalog\u002Fp\u002Fquick-start-guide-to-large-language-models-2nd-edition\u002FP200000012793), [GitHub项目](https:\u002F\u002Fgithub.com\u002Fsinanuozdemir\u002Fquick-start-guide-to-llms) |\n| [![RAG驱动的生成式AI](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_2ea2cac18ce6.jpeg)](books\u002Frag-driven-generative-ai.md) | [RAG驱动的生成式AI](books\u002Frag-driven-generative-ai.md)\u003Cbr>**副标题**: 使用LlamaIndex、Deep Lake和Pinecone构建自定义检索增强生成管道\u003Cbr>**作者**: Denis Rothman\u003Cbr>**出版社**: Packt, 2024年\u003Cbr>**评分**: Amazon 4.1分，Goodreads 3.72分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F42Zn5Jv), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F214330235-rag-driven-generative-ai), [出版社](https:\u002F\u002Fwww.packtpub.com\u002Fen-us\u002Fproduct\u002Frag-driven-generative-ai-9781836200918), [GitHub项目](https:\u002F\u002Fgithub.com\u002FDenis2054\u002FRAG-Driven-Generative-AI) |\n| [![超级学习指南](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_782e4062ed2b.jpeg)](books\u002Fsuper-study-guide.md) | [超级学习指南](books\u002Fsuper-study-guide.md)\u003Cbr>**副标题**: Transformer与大型语言模型\u003Cbr>**作者**: Afshine Amidi 和 Shervine Amidi \u003Cbr>**出版社**: 自主出版，2024年\u003Cbr>**评分**: Amazon 4.6分，Goodreads 4.62分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F4qJrXwP), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F217141763-super-study-guide), [出版社](https:\u002F\u002Fsuperstudy.guide\u002Ftransformers-large-language-models\u002F) |\n| [![代理型AI圣经](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_7661e8e89511.jpeg)](books\u002Fthe-agentic-ai-bible.md) | [代理型AI圣经](books\u002Fthe-agentic-ai-bible.md)\u003Cbr>**副标题**: 设计、构建和扩展目标驱动、基于LLM的智能体的完整且最新指南，这些智能体能够思考、执行并进化\u003Cbr>**作者**: Thomas R. Caldwell\u003Cbr>**出版社**: 自主出版，2025年\u003Cbr>**评分**: Amazon 4.7分，Goodreads 3.67分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F3L6prAo), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F239144737-the-agentic-ai-bible) |\n| [![大型语言模型安全开发者手册](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_c3e38e9f66a6.jpeg)](books\u002Fthe-developer's-playbook-for-large-language-model-security.md) | [大型语言模型安全开发者手册](books\u002Fthe-developer's-playbook-for-large-language-model-security.md)\u003Cbr>**副标题**: 构建安全的AI应用程序\u003Cbr>**作者**: Steve Wilson\u003Cbr>**出版社**: O'Reilly, 2024年\u003Cbr>**评分**: Amazon 4.7分，Goodreads 3.86分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F47GvtjK), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F210408897-the-developer-s-playbook-for-large-language-model-security), [出版社](https:\u002F\u002Fwww.oreilly.com\u002Flibrary\u002Fview\u002Fthe-developers-playbook\u002F9781098162191\u002F) |\n| [![百页语言模型书](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_ac8472a3ec97.jpeg)](books\u002Fthe-hundred-page-language-models-book.md) | [百页语言模型书](books\u002Fthe-hundred-page-language-models-book.md)\u003Cbr>**副标题**: PyTorch动手实践\u003Cbr>**作者**: Andriy Burkov\u003Cbr>**出版社**: True Positive Inc., 2025年\u003Cbr>**评分**: Amazon 4.8分，Goodreads 4.5分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F4qqmtqt), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F223643924-the-hundred-page-language-models-book), [出版社](https:\u002F\u002Fwww.thelmbook.com), [GitHub项目](https:\u002F\u002Fgithub.com\u002Faburkov\u002FtheLMbook) |\n| [![ChatGPT在做什么……](https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_readme_700633efed2f.jpeg)](books\u002Fwhat-is-chatgpt-doing....md) | [ChatGPT在做什么……](books\u002Fwhat-is-chatgpt-doing....md)\u003Cbr>**副标题**: ……以及它为何有效？\u003Cbr>**作者**: Stephen Wolfram\u003Cbr>**出版社**: Wolfram Media Inc., 2023年\u003Cbr>**评分**: Amazon 4.2分，Goodreads 3.86分 \u003Cbr>**链接**: [Amazon](https:\u002F\u002Famzn.to\u002F4o0DjdO), [Goodreads](https:\u002F\u002Fwww.goodreads.com\u002Fbook\u002Fshow\u002F123451665-what-is-chatgpt-doing-and-why-does-it-work), [出版社](https:\u002F\u002Fwritings.stephenwolfram.com\u002F2023\u002F02\u002Fwhat-is-chatgpt-doing-and-why-does-it-work\u002F) |\n\n### 关于精选\n\n以上列表并非“所有关于大语言模型开发的书籍”，而是按照以下流程筛选得出：\n\n1. 创建一份已知的大语言模型开发相关书籍的总清单（来源包括亚马逊、Goodreads、Google 图书等）。\n2. 阅读书籍简介和目录，以确认其与“从事大语言模型开发的工程师”的相关性。\n3. 查看书评并参考星级评分，评估书籍质量。\n4. 浏览社交媒体上（如 Twitter、Reddit 等）关于该书的评论和讨论。\n5. 如有可能，获取该书的电子版，进行最后的通读或略读，以进一步确认其相关性和质量。\n6. 做出最终判断（结合出版社信息及个人直觉）。\n\n请注意，我会根据新出版的书籍以及收到的相关邮件不断更新此列表。此外，所列的星级评分也会定期更新。\n\n### 让列表更出色\n\n您有什么建议，能让这份列表更加精彩吗？\n\n欢迎随时发送邮件至：Jason.Brownlee05@gmail.com\n\n免责声明：作为亚马逊联盟会员，我将从符合条件的购买中获得佣金。这意味着，当您通过我的链接购买商品时，我可能会获得一定比例的佣金。","# Awesome LLM Books 快速上手指南\n\n`awesome-llm-books` 并非一个需要安装运行的软件库，而是一个**精选的大语言模型（LLM）技术书籍清单**。本指南旨在帮助开发者快速浏览、筛选并获取适合自身学习路径的高质量技术书籍资源。\n\n## 环境准备\n\n由于本项目本质为文档索引，无需特定的系统环境或编程依赖。\n\n- **系统要求**：任意操作系统（Windows, macOS, Linux）。\n- **前置依赖**：\n  - 现代网页浏览器（用于访问链接）。\n  - GitHub 账号（可选，用于访问部分书籍配套的代码仓库）。\n  - 网络环境：需能访问 Amazon、Goodreads、O'Reilly、Manning 等国外出版商网站，或具备相应的网络加速能力。\n\n## 使用步骤\n\n本项目无需执行安装命令（如 `pip install` 或 `git clone` 运行），直接通过以下方式“使用”：\n\n### 1. 在线浏览清单\n直接访问该项目的 GitHub 页面，查看按字母顺序排列的书籍表格。每本书包含封面、标题、作者、出版社、评分及购买\u002F详情链接。\n\n### 2. 根据需求筛选书籍\n参考以下分类快速定位适合你的书籍：\n\n#### 🟢 零基础与原理入门\n- **《Build a Large Language Model (From Scratch)》** (Sebastian Raschka)\n  - **特点**：从零开始手写 LLM，深入理解底层原理。\n  - **配套资源**：[GitHub 项目](https:\u002F\u002Fgithub.com\u002Frasbt\u002FLLMs-from-scratch)\n- **《Hands-On Large Language Models》** (Jay Alammar & Maarten Grootendorst)\n  - **特点**：图文并茂，适合直观理解语言模型的理解与生成机制。\n  - **配套资源**：[GitHub 项目](https:\u002F\u002Fgithub.com\u002FHandsOnLLM\u002FHands-On-Large-Language-Models)\n\n#### 🔵 应用开发与工程化\n- **《AI Engineering》** (Chip Huyen)\n  - **特点**：专注于使用基础模型构建应用程序，涵盖工程最佳实践。\n  - **配套资源**：[GitHub 项目](https:\u002F\u002Fgithub.com\u002Fchiphuyen\u002Faie-book)\n- **《Building LLM Powered Applications》** (Valentina Alto)\n  - **特点**：指导如何创建智能应用和 Agent。\n- **《Generative AI with LangChain》** (Ben Auffarth)\n  - **特点**：基于 Python 和 LangChain 框架快速开发 LLM 应用。\n  - **配套资源**：[GitHub 项目](https:\u002F\u002Fgithub.com\u002Fbenman1\u002Fgenerative_ai_with_langchain)\n\n#### 🟠 生产部署与优化\n- **《Building LLMs for Production》** (Louis-François Bouchard)\n  - **特点**：涵盖提示工程、微调和 RAG（检索增强生成），提升模型可靠性。\n- **《LLM Engineer's Handbook》** (Paul Iusztin & Maxime Labonne)\n  - **特点**：从概念到生产的全流程工程指南。\n  - **配套资源**：[GitHub 项目](https:\u002F\u002Fgithub.com\u002FPacktPublishing\u002FLLM-Engineers-Handbook)\n\n#### 🟣 特定平台与进阶主题\n- **《Generative AI on AWS》** (Chris Fregly et al.)\n  - **特点**：专为 AWS 云环境设计的生成式 AI 应用指南。\n- **《Natural Language Processing with Transformers》** (Lewis Tunstall et al.)\n  - **特点**：Hugging Face 官方推荐，深入 Transformer 架构与 NLP 应用。\n  - **配套资源**：[GitHub 项目](https:\u002F\u002Fgithub.com\u002Fnlp-with-transformers\u002Fnotebooks)\n\n### 3. 获取书籍与代码\n点击表格中的链接获取资源：\n- **购买\u002F阅读**：点击 `Amazon`、`Publisher` 或 `Goodreads` 链接获取实体书或电子版。\n- **代码实战**：大多数书籍提供 `GitHub Project` 链接，克隆对应仓库即可运行示例代码。\n\n**示例：获取《Build a Large Language Model》配套代码**\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002Frasbt\u002FLLMs-from-scratch.git\ncd LLMs-from-scratch\n# 按照仓库内的 README 安装依赖并运行笔记\n```\n\n## 基本使用建议\n\n1. **明确目标**：若是研究人员，优先选择原理类（如 *From Scratch*）；若是应用开发者，优先选择工程类（如 *AI Engineering* 或 *LangChain* 相关）。\n2. **结合代码**：强烈建议下载书籍对应的 GitHub 项目，边读书边运行代码，效果最佳。\n3. **关注评分**：参考表格中的 Amazon 和 Goodreads 评分，优先选择 4.5 星以上的高分书籍。","某初创公司的后端工程师团队正计划从零构建一个基于大语言模型的智能客服系统，急需系统性地掌握从模型原理到生产部署的全套知识。\n\n### 没有 awesome-llm-books 时\n- **资源筛选耗时巨大**：团队成员在搜索引擎和各类论坛中盲目查找资料，难以分辨教程的时效性与权威性，浪费了大量开发时间。\n- **知识体系支离破碎**：找到的资料多为零散的博客文章或过时的文档，缺乏从“从头构建模型”到“生产环境落地”的完整逻辑链条。\n- **实战代码缺失**：许多理论书籍缺乏配套的 GitHub 项目链接，工程师无法通过复现代码来验证算法或解决具体的工程报错。\n- **选型决策困难**：面对市面上众多的出版书籍，团队难以快速判断哪一本适合当前的进阶需求（如 RAG 优化或 Agent 开发），容易买错书走弯路。\n\n### 使用 awesome-llm-books 后\n- **精准锁定权威读物**：直接获取经过社区精选的书单，迅速定位到 Chip Huyen 的《AI Engineering》或 Sebastian Raschka 的《Build a Large Language Model (From Scratch)》等高分经典。\n- **构建完整学习路径**：依据书单分类，团队制定了从理解底层原理到掌握 Prompt 工程、微调及 RAG 技术的系统化学习计划，填补了知识盲区。\n- **即查即用的代码资源**：每本书都附带官方 GitHub 项目链接，工程师可直接克隆代码库进行实验，大幅缩短了从理论理解到功能实现的周期。\n- **高效匹配业务需求**：通过查看书籍副标题和简介，团队快速甄别出专注于\"Production-Ready\"的书籍，针对性地解决了模型部署稳定性这一核心痛点。\n\nawesome-llm-books 将分散的高质量学习资源聚合为一张清晰的导航图，帮助开发者以最低的时间成本构建起坚实的大模型工程能力。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002FJason2Brownlee_awesome-llm-books_fdc40b34.jpg","Jason2Brownlee","Jason Brownlee","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002FJason2Brownlee_3a01a6dd.jpg","Research scientist & software engineer","@SuperFastPython","Australia","jason.brownlee05@gmail.com","jason2brownlee","https:\u002F\u002FJasonBrownlee.me","https:\u002F\u002Fgithub.com\u002FJason2Brownlee",null,1731,243,"2026-04-07T14:31:27",1,"","未说明",{"notes":90,"python":88,"dependencies":91},"该项目并非可运行的软件工具，而是一个精选的大语言模型（LLM）相关技术书籍列表。README 内容仅包含书名、作者、出版社、评分及购买链接等信息，因此不存在操作系统、GPU、内存、Python 版本或依赖库等运行环境需求。",[],[13,35],[94,95,96,97,98],"awesome-list","books","gpt","llms","llm-book","2026-03-27T02:49:30.150509","2026-04-08T23:37:28.557589",[],[]]