[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tool-zacfrulloni--Prompt-Engineering-Holy-Grail":3,"similar-zacfrulloni--Prompt-Engineering-Holy-Grail":74},{"id":4,"github_repo":5,"name":6,"description_en":7,"description_zh":8,"ai_summary_zh":8,"readme_en":9,"readme_zh":10,"quickstart_zh":11,"use_case_zh":12,"hero_image_url":13,"owner_login":14,"owner_name":15,"owner_avatar_url":16,"owner_bio":17,"owner_company":17,"owner_location":17,"owner_email":17,"owner_twitter":17,"owner_website":18,"owner_url":19,"languages":20,"stars":33,"forks":34,"last_commit_at":35,"license":36,"difficulty_score":37,"env_os":38,"env_gpu":39,"env_ram":39,"env_deps":40,"category_tags":43,"github_topics":47,"view_count":68,"oss_zip_url":17,"oss_zip_packed_at":17,"status":69,"created_at":70,"updated_at":71,"faqs":72,"releases":73},985,"zacfrulloni\u002FPrompt-Engineering-Holy-Grail","Prompt-Engineering-Holy-Grail","setup openclaw: https:\u002F\u002Fremoteopenclaw.com\u002F","Prompt-Engineering-Holy-Grail 是一个专注于提示工程（Prompt Engineering）的开源资源库，旨在帮助用户掌握与 AI 模型交互的核心技能。它整理了从基础到高级的学习资料、工具和社区资源，解决了很多人在使用 AI 时不知道如何设计高效提示词的问题。无论是开发者、研究人员还是普通用户，都可以通过这个资源库快速找到适合自己的学习路径和实用工具。\n\n对于开发者来说，这里提供了丰富的代码库和实验工具；研究人员可以探索数据集和学术资料；而普通用户也能通过简单易懂的教程和视频快速上手。独特的亮点在于其全面性：不仅包含学习资源，还涵盖了提示市场、管理平台以及测试工具等实际应用内容。此外，Prompt-Engineering-Holy-Grail 还连接了多个活跃的社区和职业机会，为希望进入这一领域的用户提供支持。无论你是想提升技能还是寻找相关工作，这个资源库都能为你提供有价值的指引。","Welcome to the Prompt Engineering Hub! This repository is a curated resource for anyone interested in learning and advancing prompt engineering techniques.\n\n[**⭐️ Vibe Coding Free Starter Kit ⭐️**](https:\u002F\u002Fvibe-codingschool.com\u002F)\n\n[**⭐️ Subscribe to my Youtube ⭐️**](https:\u002F\u002Fwww.youtube.com\u002F@Zac-Frulloni)\n\n[**⭐️ Land Your First Client With Vibe Coding ⭐️**](https:\u002F\u002Fwww.skool.com\u002Flovable-vibe-coding\u002Fabout)\n\n[**⭐️ Earn up to $1000 by referring a client ⭐️**](https:\u002F\u002Fwww.aidevelopers.tech\u002F)\n\n[**⭐️ Remote OpenClaw — Managed OpenClaw Hosting & Deployment ⭐️**](https:\u002F\u002Fremoteopenclaw.com\u002F)\n\n[**⭐️ OpenClaw Bazaar — Marketplace for OpenClaw Skills & Personas ⭐️**](https:\u002F\u002Fopenclawbazaar.com\u002F)\n\n\n## Table of Contents\n\n1. [Introduction](#1-introduction)\n   - [Overview of Prompt Engineering](#overview-of-prompt-engineering)\n   - [Purpose of This Repository](#purpose-of-this-repository)\n2. [Learning Resources](#2-learning-resources)\n   - [Free Tutorials, Videos & Guides](#free-tutorials-videos--guides)\n   - [Additional Guides and Repositories](#additional-guides-and-repositories)\n   - [Books and Reference Materials](#books-and-reference-materials)\n   - [Essential Books on Prompt Engineering and ChatGPT](#essential-books-on-prompt-engineering-and-chatgpt)\n   - [YouTube Videos on Prompt Engineering](#youtube-videos-on-prompt-engineering)\n   - [YouTube Channels Dedicated to AI & Prompt Engineering](#youtube-channels-dedicated-to-ai--prompt-engineering)\n   - [Newsletters and Blogs](#newsletters-and-blogs)\n   - [Comprehensive List of Online Courses on Prompt Engineering](#comprehensive-list-of-online-courses-on-prompt-engineering)\n3. [Prompt Engineering Tools](#3-prompt-engineering-tools)\n   - [Prompt Marketplaces](#prompt-marketplaces)\n   - [Prompt Generation Tools](#prompt-generation-tools)\n   - [Prompt Management Platforms](#prompt-management-platforms)\n   - [Prompt Testing and Experimentation](#prompt-testing-and-experimentation)\n   - [Prompt Crafting Libraries](#prompt-crafting-libraries)\n   - [Other](#other)\n4. [Prompt Libraries, Collections & Datasets](#4-prompt-libraries-collections--datasets)\n   - [Prompt Libraries](#prompt-libraries)\n   - [Prompt Collections](#prompt-collections)\n   - [GPT Stores and Libraries](#gpt-stores-and-libraries)\n   - [Datasets](#datasets)\n   - [Grok Prompts](#grok-prompts)\n5. [Prompt Engineering Communities](#5-prompt-engineering-communities)\n   - [Social Media Groups for Prompt Engineering](#social-media-groups-for-prompt-engineering)\n     - [Reddit Communities](#reddit-communities)\n     - [Facebook Communities](#facebook-communities)\n   - [Discord Communities for Prompt Engineering](#discord-communities-for-prompt-engineering)\n   - [Other Prompt Engineering Communities and Forums](#other-prompt-engineering-communities-and-forums)\n6. [Freelance & Job Opportunities](#6-freelance--job-opportunities)\n   - [Job Websites for Prompt Engineers](#job-websites-for-prompt-engineers)\n   - [Freelance Platforms](#freelance-platforms)\n7. [Contributing & Code of Conduct](#7-contributing--code-of-conduct)\n8. [Support My Work](#8-support-my-work)\n9. [Join Our Community on Discord](#9-join-our-community-on-discord)\n10. [License](#10-license)\n11. [Disclosure](#11-disclosure)\n12. [Contact Me](#12-contact-me)\n\n## 1. Introduction\n\n\nWelcome to the **Prompt Engineering Hub**! This repository is a curated resource for all things related to prompt engineering, from beginner fundamentals to advanced techniques.\n\n### Overview of Prompt Engineering\n\nPrompt engineering involves crafting effective prompts to guide AI models like GPT-4, helping them generate accurate, context-aware outputs. As AI applications grow across industries, mastering prompt engineering unlocks powerful use cases in areas like text generation, sentiment analysis, translation, and more.\n\n### Purpose of This Repository\n\nThis repo gathers essential resources, tools, templates, and best practices to support anyone learning or working in prompt engineering. Whether you’re just starting or have experience, you’ll find structured learning paths, advanced techniques, and real-world examples.\n\nEach section is crafted to support your growth in prompt engineering, making it easy to find the resources you need. Explore, learn, and feel free to contribute!\n\n\n## 2. Learning Resources\n\n### Free Tutorials, Videos & Guides\n\n\n1. **Learn Prompting** - Overview of Prompt Engineering and various techniques.\n   - [A Complete Guide to Meta Prompting](https:\u002F\u002Fwww.prompthub.us\u002Fblog\u002Fa-complete-guide-to-meta-prompting#what-is-meta-prompting?) - Meta prompting is a prompt engineering method that uses large language models (LLMs) to create and refine prompts.\n2. **Best Practices for Prompt Engineering with the OpenAI API** - OpenAI guide on best practices for prompt engineering.\n   - [Brex's Prompt Engineering Guide](https:\u002F\u002Fgithub.com\u002Fbrexhq\u002Fprompt-engineering) - Tips and tricks for working with Large Language Models like OpenAI's GPT-4.\n   - [Prompt Engineering Tutorial – Master ChatGPT and LLM Responses](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=_ZvnD73m40o)\n3. **Awesome GPT Super Prompting** - Collection of advanced techniques, including jailbreaks, prompt injection, and prompt security.\n   - [Awesome GPT Super Prompting](https:\u002F\u002Fgithub.com\u002FCyberAlbSecOP\u002FAwesome_GPT_Super_Prompting)\n4. **Microsoft Prompt Engineering Fundamentals** - Comprehensive fundamentals and advanced prompt engineering from Microsoft.\n   - [Microsoft - Prompt Engineering Fundamentals](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fgenerative-ai-for-beginners\u002Ftree\u002Fmain\u002F04-prompt-engineering-fundamentals)\n   - [Microsoft - Advanced Prompts](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fgenerative-ai-for-beginners\u002Ftree\u002Fmain\u002F05-advanced-prompts)\n5. **Learning Prompt** - Free prompt engineering course covering ChatGPT and Midjourney tutorials.\n   - [Learning Prompt on GitHub](https:\u002F\u002Fgithub.com\u002Fthinkingjimmy\u002FLearning-Prompt)\n6. **YouTube Video Tutorials**\n   - [Master the Perfect ChatGPT Prompt Formula (8 minutes)](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=jC4v5AS4RIM)\n   - [AI Prompt Engineering: A Deep Dive (Anthropic)](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=T9aRN5JkmL8)\n   - [ChatGPT Prompt Engineering Course (16 free YouTube episodes)](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=mBYu5NoXBcs&list=PLaWSKUwEzmonq85t2rHwZfuEXotqEnTyR)\n   - [Learn Prompt Engineering: Full Beginner Crash Course (5 HOURS)](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=LWiMwhDZ9as)\n   - [ChatGPT Prompt Engineering (55 free YouTube episodes)](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=ylEu4fz4eU8&list=PLtPgUfajvh_Z_utkISrRk9tIxvnaR17_X)\n   - [Learn Prompt Engineering for ChatGPT](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=2sEujkZ79E4)\n\n\n### Additional Guides and Repositories\n\n\n7. **Prompt-Engineering-Guide** - Comprehensive guide covering the latest papers, resources, and prompt engineering techniques.\n   - [Prompt-Engineering-Guide by dair-ai](https:\u002F\u002Fgithub.com\u002Fdair-ai\u002FPrompt-Engineering-Guide?tab=readme-ov-file)\n8. **Prompt Engineering Techniques** - Repository focused on advanced prompt engineering methods.\n   - [Prompt Engineering Techniques by Nir Diamant](https:\u002F\u002Fgithub.com\u002FNirDiamant\u002FPrompt_Engineering?tab=readme-ov-file)\n\n### Books and Reference Materials\n\n9. [**DALLE Prompt Book**](https:\u002F\u002Fdallery.gallery\u002Fthe-dalle-2-prompt-book\u002F) - Guide on crafting prompts specifically for image generation models like DALLE.\n10. [**OpenAI Cookbook**](https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-cookbook) - Collection of OpenAI's best practices and examples for using language models effectively.\n11. [**Prompt Engineering by Microsoft**](https:\u002F\u002Fmicrosoft.github.io\u002Fprompt-engineering\u002F) - Resources and guides by Microsoft on prompt engineering fundamentals.\n12. [**Topic Page Research papers**](https:\u002F\u002Ftopics-beta.apps.semanticscholar.org\u002Ftopic\u002F20102634420) - Research papers that discuss prompt engineering techniques.\n\n## Comprehensive List of Online Courses on Prompt Engineering\n\n| **Course Name**                                                                                                     | 🏫 **Platform**      | ⭐ **Ratings\u002FReviews**            | ⏰ **Duration**                  | 💰 **Cost**   | 🎓 **Certification** |\n|------------------------------------------------------------------------------------------------------------------------|-----------------------|-----------------------------------|----------------------------------|---------------|-----------------------|\n| [Understanding Prompt Engineering](https:\u002F\u002Fwww.datacamp.com\u002Fcourses\u002Funderstanding-prompt-engineering)                  | DataCamp             | ⭐ 4.4 (55 reviews)               | n\u002Fa                              | n\u002Fa           | ✔️ Yes               |\n| [Introduction to ChatGPT](https:\u002F\u002Fwww.datacamp.com\u002Fcourses\u002Fintroduction-to-chatgpt)                                    | DataCamp             | ⭐ 4.3 (295 reviews)              | n\u002Fa                              | n\u002Fa           | ✔️ Yes               |\n| [Large Language Models (LLMs) & Text Generation](https:\u002F\u002Fwww.udacity.com\u002Fcourse\u002Flarge-language-models-and-text-generation--cd13318#plans) | Udacity | n\u002Fa                           | n\u002Fa                              | n\u002Fa           | ✔️ Yes               |\n| [Learn How to Use ChatGPT](https:\u002F\u002Fwww.codecademy.com\u002Flearn\u002Fintro-to-chatgpt)                                          | Codecademy           | ⭐ 4.4 (3536 reviews)             | 1 hour (Beginner)                | n\u002Fa           | ✔️ Yes               |\n| [Prompt Engineering for Marketing](https:\u002F\u002Fwww.codecademy.com\u002Flearn\u002Fprompt-engineering-for-marketing)                  | Codecademy           | ⭐ 4.4 (227 reviews)              | 1 hour (Beginner)                | n\u002Fa           | ✔️ Yes               |\n| [Prompt Engineering and Advanced ChatGPT](https:\u002F\u002Fedx.sjv.io\u002FQjOkLx) | edX | ⭐ 4.2 (148 ratings) | n\u002Fa | £31 | ✔️ Yes |\n| [IBM: Introduction to Prompt Engineering](https:\u002F\u002Fedx.sjv.io\u002FRGyerR) | IBM on edX | ⭐ 4.4 (217 ratings) | n\u002Fa | £38 | ✔️ Yes |\n| [Generative AI for Everyone](https:\u002F\u002Fedx.sjv.io\u002F7amY6d) | IBM on edX | n\u002Fa                       | 4 months (1-3 hrs\u002Fwk)             | £171         | ✔️ Yes               |\n| [Generative AI Fundamentals](https:\u002F\u002Fedx.sjv.io\u002FqznPKN) | IBM on edX | n\u002Fa                       | 5 months (2-4 hrs\u002Fwk)             | £1,156       | ✔️ Yes               |\n| [IBM Applied AI Developer](https:\u002F\u002Fedx.sjv.io\u002FjeWq76) | IBM on edX | n\u002Fa                       | 6 months (2-4 hrs\u002Fwk)             | £329         | ✔️ Yes               |\n| [Large Language Model Operations (LLMOps)](https:\u002F\u002Fedx.sjv.io\u002FaO1Eoo) | edX | n\u002Fa | 7 months (3-6 hrs\u002Fwk)           | £1,910       | ✔️ Yes               |\n| [Prompt Engineering Specialization](https:\u002F\u002Fimp.i384100.net\u002FYRRVrq)                              | Coursera      | ⭐ 4.8 (1862 reviews)       | 1 month (10 hrs\u002Fwk)               | n\u002Fa         | ✔️ Yes               |\n| [Prompt Engineering for Law Specialization](https:\u002F\u002Fimp.i384100.net\u002FQjjYRz)               | Coursera      | ⭐ 4.8 (181 reviews)        | 1 month (10 hrs\u002Fwk)               | n\u002Fa         | ✔️ Yes               |\n| [Prompt Engineering for Educators Specialization](https:\u002F\u002Fimp.i384100.net\u002F555kXD)   | Coursera      | ⭐ 4.8 (97 reviews)         | 1 month (10 hrs\u002Fwk)               | n\u002Fa         | ✔️ Yes               |\n| [Prompt Engineering for ChatGPT](https:\u002F\u002Fimp.i384100.net\u002FLKK0z3)                                            | Coursera      | ⭐ 4.8 (4042 reviews)       | n\u002Fa                               | n\u002Fa         | ✔️ Yes               |\n| [Generative AI: Prompt Engineering Basics](https:\u002F\u002Fimp.i384100.net\u002FPOOz2M)       | Coursera      | ⭐ 4.8 (2095 reviews)       | n\u002Fa                               | n\u002Fa         | ✔️ Yes               |\n| [ChatGPT Prompt Engineering for Developers](https:\u002F\u002Fimp.i384100.net\u002FaOONBq) | Coursera | ⭐ 4.7 (1086 reviews)     | n\u002Fa                               | n\u002Fa         | ✔️ Yes               |\n| [The Complete Prompt Engineering for AI Bootcamp (2024)](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fprompt-engineering-for-ai\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.5 (49378 reviews)   | 20.5 hours                        | £54.99      | ✔️ Yes               |\n| [ChatGPT Complete Guide: Learn Generative AI, ChatGPT & More](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fcomplete-ai-guide\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.5 (39995 reviews) | 26.5 hours                        | £54.99      | ✔️ Yes               |\n| [Complete Prompt Engineering Practical Course](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fcomplete-prompt-engineering-practical-course-cpepc\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.6 (977 reviews)   | 8 hours                           | £39.99      | ✔️ Yes               |\n| [ChatGPT Masterclass: The Guide to AI & Prompt Engineering](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fchatgpt-ai-masterclass\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.7 (3759 reviews)   | 16 hours                          | £59.99      | ✔️ Yes               |\n| [All of AI: ChatGPT, Midjourney, Stable Diffusion & App Dev](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fall-of-ai-chatgpt-midjourney-stable-diffusion-app-dev\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.7 (1124 reviews) | 36.5 hours                        | £59.99      | ✔️ Yes               |\n| [Complete ChatGPT Prompt Engineering Course](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fcomplete-chatgpt-prompt-engineering-course\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.6 (373 reviews)    | 10.5 hours                        | £19.99      | ✔️ Yes               |\n| [ChatGPT-4 Prompt Engineering: ChatGPT, Generative AI & LLM](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fchatgpt-pro-expert-prompt-engineering-strategies-udemy-course-bootcamp\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.4 (556 reviews) | 4 hours                           | £44.99      | ✔️ Yes               |\n| [Open-source LLMs: Uncensored & secure AI locally with RAG](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fopen-source-llms-uncensored-secure-ai-locally-with-rag\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.8 (475 reviews)    | 10 hours                          | £54.99      | ✔️ Yes               |\n| [ChatGPT Complete Course - Prompt Engineering for ChatGPT](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fchat-gpt\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.4 (10082 reviews)  | 5.5 hours                         | £29.99      | ✔️ Yes               |\n| [ChatGPT and GPT-4 LLM Guide- Prompt Engineering for Everyone](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fprompt-engineering-for-everybody\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.4 (654 reviews)   | 3 hours                           | £49.99      | ✔️ Yes               |\n| [Prompt Engineering for Data Analysis Python, Pandas, ChatGPT](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fchatgptandpython\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.6 (680 reviews)   | 10.5 hours                        | £49.99      | ✔️ Yes               |\n| [Prompt Engineering with ChatGPT 4 & Midjourney 2000+ prompts](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fgptcourse\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.4 (1350 reviews)  | 22.5 hours                        | £54.99      | ✔️ Yes               |\n| [Ultimate ChatGPT Course for Beginners 2024](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fultimate-chatgpt-course-for-beginners\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.7 (1308 reviews)  | n\u002Fa                               | £19.99      | ✔️ Yes               |\n| [Digital Marketing Guide - 26 Courses in 1](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fdigital-marketing-guide\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.6 (38119 reviews) | 72 hours                          | £199.99     | ✔️ Yes               |\n| [Master Generative AI: Automate Content Effortlessly with AI](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fai-content-generation\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.4 (5081 reviews)  | 11 hours                          | £39.99      | ✔️ Yes               |\n| [How to ChatGPT: Master the Art of Prompt Engineering](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fchatgpt-a-master-guide-for-professionals\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.4 (19634 reviews) | 2.5 hours                         | £29.99      | ✔️ Yes               |\n| [LangChain- Develop LLM powered applications with LangChain](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Flangchain\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.6 (19450 reviews) | 9.5 hours                         | £54.99      | ✔️ Yes               |\n\n## Essential Books on Prompt Engineering and ChatGPT\n\n| 📘 **Book Title**                                                                                                                                | 🌍 **Link**                                                                                                                                          | ⭐ **Rating\u002FReviews**          | 💵 **Price**    | 📱 **Format** |\n|--------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------|-----------------|---------------|\n| **[Prompt Engineering and ChatGPT: How to Easily 10X Your Productivity, Creativity, and Make More Money Without Working Harder](https:\u002F\u002Fwww.amazon.co.uk\u002FPrompt-Engineering-ChatGPT-Productivity-Creativity-ebook\u002Fdp\u002FB0CP3CKHMN\u002Fref=sr_1_16?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FPrompt-Engineering-ChatGPT-Productivity-Creativity-ebook\u002Fdp\u002FB0CP3CKHMN&tag=zacfrulloni01-21) | ⭐ 3.9 (84 reviews)            | £7.61           | Kindle        |\n| **[The Only ChatGPT Prompts Book You’ll Ever Need](https:\u002F\u002Fwww.amazon.co.uk\u002FOnly-ChatGPT-Prompts-Book-Youll\u002Fdp\u002FB0CWB7KYW9\u002Fref=sr_1_17?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FOnly-ChatGPT-Prompts-Book-Youll\u002Fdp\u002FB0CWB7KYW9&tag=zacfrulloni01-21)                            | ⭐ 4.1 (78 ratings)             | £7.97           | Kindle        |\n| **[ChatGPT for Beginners Made Easy: Master Prompts, Boost Productivity, and Cash In](https:\u002F\u002Fwww.amazon.co.uk\u002FChatGPT-Beginners-Made-Easy-Conversational\u002Fdp\u002FB0CQ7SSRFP\u002Fref=sr_1_1_sspa?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FChatGPT-Beginners-Made-Easy-Conversational\u002Fdp\u002FB0CQ7SSRFP&tag=zacfrulloni01-21)                 | ⭐ 4.0 (62 reviews)             | £5.99           | Kindle        |\n| **[Prompt Engineering for Generative AI: Future-Proof Inputs for Reliable AI Outputs](https:\u002F\u002Fwww.amazon.co.uk\u002FPrompt-Engineering-Generative-AI-Future-Proof\u002Fdp\u002F109815343X\u002Fref=sr_1_3?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FPrompt-Engineering-Generative-AI-Future-Proof\u002Fdp\u002F109815343X&tag=zacfrulloni01-21)              | ⭐ 4.5 (30 reviews)             | £46.29          | Kindle        |\n| **[The Art of Prompt Engineering with chatGPT: A Hands-On Guide](https:\u002F\u002Fwww.amazon.co.uk\u002FArt-Prompt-Engineering-chatGPT-Hands\u002Fdp\u002F1739296710\u002Fref=sr_1_6?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FArt-Prompt-Engineering-chatGPT-Hands\u002Fdp\u002F1739296710&tag=zacfrulloni01-21)                       | ⭐ 4.1 (232 ratings)            | £9.99           | Kindle        |\n| **[The Art of Prompt Engineering with ChatGPT: Accessible Edition](https:\u002F\u002Fwww.amazon.co.uk\u002FArt-Prompt-Engineering-ChatGPT-Accessible-ebook\u002Fdp\u002FB0BZ4T68Q4\u002Fref=sr_1_11?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FArt-Prompt-Engineering-ChatGPT-Accessible-ebook\u002Fdp\u002FB0BZ4T68Q4&tag=zacfrulloni01-21)            | ⭐ 4.4 (106 reviews)            | £9.99           | Kindle        |\n| **[The Ultimate Guide to ChatGPT: A Beginner's Handbook on Prompt Engineering](https:\u002F\u002Fwww.amazon.co.uk\u002FUltimate-Guide-ChatGPT-understanding-intelligence\u002Fdp\u002FB0C2RRQDMV\u002Fref=sr_1_13_sspa?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FUltimate-Guide-ChatGPT-understanding-intelligence\u002Fdp\u002FB0C2RRQDMV&tag=zacfrulloni01-21)          | ⭐ 4.2 (112 reviews)            | £7.99           | Kindle        |\n\n## YouTube Videos on Prompt Engineering\n\n| **Video Title** | **Link** |\n|-----------------|----------|\n| **EfficientML.ai Lecture 20: Efficient Fine-tuning and Prompt Engineering (MIT 6.5940, Fall 2023)** | [Watch on YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=vOPwwRCZ8q8) |\n| **Prompt-Engineering for Open-Source LLMs** | [Watch on YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=f32dc5M2Mn0) |\n| **Advanced ChatGPT Prompt Engineering** | [Watch on YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=bBiTR_1sEmI) |\n| **ChatGPT: 5 Prompt Engineering Secrets For Beginners** | [Watch on YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=2zg3V66-Fzs) |\n| **ChatGPT Guide: 10x Your Results with Better Prompts** | [Watch on YouTube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=os-JX1ZQwIA) |\n| **Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution (Paper Explained)** | [Watch on Youtube](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=tkX0EfNl4Fc) |\n\n## YouTube Channels Dedicated to AI & Prompt Engineering\n\n| **Channel Name** | **Link** |\n|------------------|----------|\n| **Prompt Engineering** | [@engineerprompt](https:\u002F\u002Fwww.youtube.com\u002F@engineerprompt) |\n| **They Call Me Hoz** | [@theycallmehoz](https:\u002F\u002Fwww.youtube.com\u002F@theycallmehoz) |\n| **Jeff Su** | [@JeffSu](https:\u002F\u002Fwww.youtube.com\u002F@JeffSu) |\n| **AI Master** | [@iamAImaster](https:\u002F\u002Fwww.youtube.com\u002F@iamAImaster) |\n| **AssemblyAI** | [@AssemblyAI](https:\u002F\u002Fwww.youtube.com\u002F@AssemblyAI) |\n| **Hasan Aboul Hasan** | [@hasanaboulhasan](https:\u002F\u002Fwww.youtube.com\u002F@hasanaboulhasan) |\n| **AI Foundations** | [@ai-foundations](https:\u002F\u002Fwww.youtube.com\u002F@ai-foundations) |\n| **Prompt Engineer** | [@PromptEngineer48](https:\u002F\u002Fwww.youtube.com\u002F@PromptEngineer48) |\n| **All About AI** | [@AllAboutAI](https:\u002F\u002Fwww.youtube.com\u002F@AllAboutAI) |\n| **The AI Advantage** | [@aiadvantage](https:\u002F\u002Fwww.youtube.com\u002F@aiadvantage) |\n| **Yannic Kilcher** | [@YannicKilcher](https:\u002F\u002Fwww.youtube.com\u002F@YannicKilcher) |\n| **PromptHub** | [@PromptHub](https:\u002F\u002Fwww.youtube.com\u002F@PromptHub_AI) |\n\n## Newsletters and Blogs\n\n| **Channel Name**                     | **Description**                                            | **Link**                                |\n|--------------------------------------|------------------------------------------------------------|-----------------------------------------|\n| **The Prompt Engineering Substack**  | Educational articles on prompt engineering techniques, tools, and best practices. | [Visit on Substack](https:\u002F\u002Fprompthub.substack.com\u002F) |\n| **PromptHub Blog**                   | In-depth articles, guides, and insights on prompt engineering. | [Visit Blog](https:\u002F\u002Fwww.prompthub.us\u002Fblog) |\n\n## 3. Prompt Engineering Tools\n\n## Prompt Marketplaces\n\n| **Tool**              | **Link** |\n|-----------------------|----------|\n| **PromptBase**        | [PromptBase](https:\u002F\u002Fpromptbase.com\u002F) |\n\n## Prompt Generation Tools\n\n| **Tool**                     | **Link** |\n|------------------------------|----------|\n| **YiVal**                    | [YiVal](https:\u002F\u002Fgithub.com\u002FYiVal\u002FYiVal) |\n| **GPT Prompt Engineer**      | [GPT Prompt Engineer](https:\u002F\u002Fgithub.com\u002Fmshumer\u002Fgpt-prompt-engineer) |\n| **Promptify**                | [Promptify](https:\u002F\u002Fgithub.com\u002Fpromptslab\u002FPromptify) |\n| **HuggingFace ChatGPT Prompt Generator** | [HuggingFace ChatGPT Prompt Generator](https:\u002F\u002Fhuggingface.co\u002Fspaces\u002Fmerve\u002FChatGPT-prompt-generator) |\n| **PromptHub Prompt Generator** | [PromptHub Prompt Generator](https:\u002F\u002Fwww.prompthub.us\u002Ffeatures\u002Fprompt-generator) |\n\n\n## Prompt Management Platforms\n\n| **Tool**                   | **Description** | **Link** |\n|----------------------------|-----------------|----------|\n| **Puzzlet**               | Streamline your GenAI workflows with Git-Based prompt management, detailed traceability, and actionable metrics. | [Puzzlet](https:\u002F\u002Fwww.puzzlet.ai) |\n| **Opik**                   | Open-source end-to-end LLM development platform | [Opik](https:\u002F\u002Fgithub.com\u002Fcomet-ml\u002Fopik) |\n| **Agenta**                 | All-in-one LLM developer platform with prompt management | [Agenta](https:\u002F\u002Fgithub.com\u002Fagenta-ai\u002Fagenta) |\n| **PromptInject**           | Framework for modular prompts and adversarial prompt robustness testing | [PromptInject](https:\u002F\u002Fgithub.com\u002Fagencyenterprise\u002FPromptInject) |\n| **Langbear**               | Open-source AI prompt management platform | [Langbear](https:\u002F\u002Flangbear.runbear.io\u002Fintroduction) |\n| **Agentic Workers**        | One Click Advanced ChatGPT Workflows  | [AgenticWorkers](https:\u002F\u002Fagenticworkers.com\u002F) |\n| **PromptHub**              | Test, collaborate, version, and deploy prompts, from a single place | [PromptHub](https:\u002F\u002Fwww.prompthub.us\u002F) |\n\n\n## Prompt Testing and Experimentation\n\n| **Tool**                   | **Description** | **Link** |\n|----------------------------|-----------------|----------|\n| **BetterPrompt**           | Test suite for LLM prompts | [BetterPrompt](https:\u002F\u002Fgithub.com\u002Fstjordanis\u002Fbetterprompt) |\n| **OpenPrompt**             | Open-Source framework for prompt-learning | [OpenPrompt](https:\u002F\u002Fgithub.com\u002Fthunlp\u002FOpenPrompt) |\n| **Guidance**               | Programming paradigm for controlling LLM output | [Guidance](https:\u002F\u002Fgithub.com\u002Fguidance-ai\u002Fguidance) |\n| **Prompt Tools**           | Tools for prompt testing and experimentation | [Prompt Tools](https:\u002F\u002Fgithub.com\u002Fhegelai\u002Fprompttools) |\n| **ThoughtSource**          | Resource for chain-of-thought reasoning tools | [ThoughtSource](https:\u002F\u002Fgithub.com\u002FOpenBioLink\u002FThoughtSource) |\n| **ChatGPT Queue**          | Tool for Bulk Prompting and Prompt Chaining | [ChatGPT Queue](https:\u002F\u002Fchromewebstore.google.com\u002Fdetail\u002Fchatgpt-queue-save-time-w\u002Fiabnajjakkfbclflgaghociafnjclbem?hl=en&authuser=0) |\n\n\n## Prompt Crafting Libraries\n\n| **Tool**                   | **Description** | **Link** |\n|----------------------------|-----------------|----------|\n| **Prompt Engine**          | Library for crafting prompts for large language models | [Prompt Engine](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fprompt-engine) |\n| **PromptDX**          | A declarative, extensible, and composable approach for developing LLM prompts using Markdown and JSX. | [PromptDX](https:\u002F\u002Fgithub.com\u002Fpuzzlet-ai\u002Fpromptdx) |\n| **ClickPrompt**            | Tool for viewing, sharing, and running prompts with one click | [ClickPrompt](https:\u002F\u002Fgithub.com\u002Fprompt-engineering\u002Fclick-prompt) |\n| **Outlines**               | Structured text generation toolkit | [Outlines](https:\u002F\u002Fgithub.com\u002Fdottxt-ai\u002Foutlines) |\n| **PromptSource**           | Toolkit for creating and sharing natural language prompts | [PromptSource](https:\u002F\u002Fgithub.com\u002Fbigscience-workshop\u002Fpromptsource) |\n| **PromptMetheus**          | One-shot prompt engineering toolkit | [PromptMetheus](https:\u002F\u002Fpromptmetheus.com\u002F) |\n\n## Other\n\n| **Tool**                   | **Description** | **Link** |\n|----------------------------|-----------------|----------|\n| **PromptKnit**             | Playground for prompt designers | [PromptKnit](https:\u002F\u002Fpromptknit.com\u002F) |\n| **Promptotype**            | Tool for developing, testing, and monitoring structured LLM tasks | [Promptotype](https:\u002F\u002Fwww.promptotype.io\u002F) |\n| **OpenICL**                | Framework for in-context learning research and prototyping | [OpenICL](https:\u002F\u002Fgithub.com\u002FShark-NLP\u002FOpenICL) |\n| **Optimus Prompt AI**      | Experiment tracking and human annotation platform for LLM applications | [Optimus Prompt AI](https:\u002F\u002Fwww.optimusprompt.ai\u002F) |\n\n## 4.\tPrompt Libraries, Collections & Datasets\n\n## Prompt Libraries\n\n| **Library**                   | **Description** | **Link** |\n|-------------------------------|-----------------|----------|\n| **ai-boost\u002Fawesome-prompts**  | Curated list of ChatGPT prompts with top-rated GPTs. Includes prompt engineering, attack & protection techniques, and advanced papers. | [ai-boost\u002Fawesome-prompts](https:\u002F\u002Fgithub.com\u002Fai-boost\u002Fawesome-prompts) |\n| **B3o\u002FGPTS-Prompt-Collection**| Extensive prompt collection for GPT models. | [B3o\u002FGPTS-Prompt-Collection](https:\u002F\u002Fgithub.com\u002FB3o\u002FGPTS-Prompt-Collection) |\n| **abilzerian\u002FLLM-Prompt-Library** | Advanced code and text manipulation prompts for various LLMs, including GPT-4o, Claude, and Llama3. | [abilzerian\u002FLLM-Prompt-Library](https:\u002F\u002Fgithub.com\u002Fabilzerian\u002FLLM-Prompt-Library) |\n| **yunwei37\u002Fprompt-hacker-collections** | Prompt hacking and defense, with injection and reverse engineering examples. | [yunwei37\u002Fprompt-hacker-collections](https:\u002F\u002Fgithub.com\u002Fyunwei37\u002Fprompt-hacker-collections) |\n| **alphatrait\u002F100000-ai-prompts-by-contentifyai** | Extensive collection of 100,000+ prompts for ChatGPT, covering various topics like business and entertainment. | [alphatrait\u002F100000-ai-prompts-by-contentifyai](https:\u002F\u002Fgithub.com\u002Falphatrait\u002F100000-ai-prompts-by-contentifyai) |\n| **DummyKitty\u002FCyber-Security-chatGPT-prompt** | Security-focused ChatGPT prompt library. | [DummyKitty\u002FCyber-Security-chatGPT-prompt](https:\u002F\u002Fgithub.com\u002FDummyKitty\u002FCyber-Security-chatGPT-prompt) |\n\n## Prompt Collections\n\n| **Collection**                | **Description** | **Link** |\n|-------------------------------|-----------------|----------|\n| **FlowGPT**                   | Largest open-source community for sharing prompts. | [FlowGPT](https:\u002F\u002Fflowgpt.com) |\n| **awesomegptprompts.com**     | Hundreds of the best curated ChatGPT prompts. | [awesomegptprompts.com](https:\u002F\u002Fawesomegptprompts.com) |\n| **fka\u002Fawesome-chatgpt-prompts** | Dataset with curated ChatGPT prompts for enhanced usage. | [fka\u002Fawesome-chatgpt-prompts](https:\u002F\u002Fgithub.com\u002Ffka\u002Fawesome-chatgpt-prompts) |\n| **PromptHub**                 | A variety of the latest prompt engineering templates. | [PromptHub](https:\u002F\u002Fapp.prompthub.us\u002Ftemplates) |\n| **Snack Prompt**              | Collection of prompts with Chrome extension for easy access. | [Snack Prompt](https:\u002F\u002Fsnackprompt.com) |\n| **Prompt Search**             | Search engine for locating AI prompts. | [Prompt Search](https:\u002F\u002Fpromptsearch.com) |\n| **The Prompt Index**          | Curated index with a wide variety of prompts. | [The Prompt Index](https:\u002F\u002Fthepromptindex.com) |\n| **PromptDen**                 | Platform with thousands of prompts for text and image generation, with profile features for prompt engineers. | [PromptDen](https:\u002F\u002Fpromptden.com) |\n| **PromptChains**              | Prompt chains maximize intelligence and results when using LLMs. | [PromptChains](https:\u002F\u002Fgithub.com\u002FMIATECHPARTNERS\u002FPromptChains) |\n\n## GPT Stores and Libraries\n\n| **Store\u002FLibrary**             | **Description** | **Link** |\n|-------------------------------|-----------------|----------|\n| **Awesome GPT Store**         | Comprehensive GPT store with major public GPTs. | [Awesome GPT Store](https:\u002F\u002Fgithub.com\u002FAnil-matcha\u002FAwesome-GPT-Store) |\n| **Awesome GPTs Big List**     | A large list of notable GPTs available publicly. | [Awesome GPTs Big List](https:\u002F\u002Fgithub.com\u002Ffriuns2\u002FAwesome-GPTs-Big-List) |\n| **BestGPTs**                  | Top-ranked OpenAI GPTs for various applications. | [BestGPTs](https:\u002F\u002Fgithub.com\u002FAgentOps-AI\u002FBestGPTs) |\n| **Awesome GPT Agents**        | Curated list of GPT agents, particularly for cybersecurity. | [Awesome GPT Agents](https:\u002F\u002Fgithub.com\u002Ffr0gger\u002FAwesome-GPT-Agents) |\n\n## Datasets\n\n| **Dataset Name**                        | **Description**                                                                                                                                                                                                                                     | **Link** |\n|-----------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------|\n| **P3 (Public Pool of Prompts)**         | A collection of prompted English datasets covering a diverse set of NLP tasks.                                                                                                                              | [HuggingFace](https:\u002F\u002Fhuggingface.co\u002Fdatasets\u002Fbigscience\u002FP3) |\n| **Awesome ChatGPT Prompts**             | Repository includes curated ChatGPT prompts to enhance interactions.                                                                                                                                         | [GitHub](https:\u002F\u002Fgithub.com\u002Ff\u002Fawesome-chatgpt-prompts) |\n| **Red Team Attempts**                   | A dataset of \"red team\" attempts for adversarial testing on models, created by Anthropic for testing potential harmful outputs.                                                                            | [GitHub](https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fhh-rlhf\u002Ftree\u002Fmaster\u002Fred-team-attempts) |\n| **DiffusionDB**                         | A large-scale text-to-image prompt dataset, providing a gallery of prompts based on Stable Diffusion models.                                                                                                | [GitHub](https:\u002F\u002Fgithub.com\u002Fpoloclub\u002Fdiffusiondb) |\n| **Real Toxicity Prompts**               | A dataset of 100k sentence snippets from the web for research on reducing toxic degeneration in neural models.                                                                                              | [HuggingFace](https:\u002F\u002Fhuggingface.co\u002Fdatasets\u002Fallenai\u002Freal-toxicity-prompts) |\n| **Stable Diffusion Prompts**            | A set of about 80,000 prompts from \"Lexica.art\" for Stable Diffusion. Data extraction was challenging due to API limitations.                                                                              | [HuggingFace](https:\u002F\u002Fhuggingface.co\u002Fdatasets\u002FGustavosta\u002FStable-Diffusion-Prompts) |\n\n## Grok Prompts\n\n| **Resource Title**                                         | **Link**                                                                                                                           |\n|------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------|\n| **9 Prompt Tests: Grok 2.0\u002FFlux.1, Midjourney**            | [9 Prompt Tests: Grok 2.0\u002FFlux.1, Midjourney](https:\u002F\u002Fmedium.com\u002F@tanshaoyu160\u002F9-prompt-tests-grok-2-0-flux-1-midjourney-whos-more-powerful-595e3012d48b) |\n| **Grok 2 Prompts & Examples**                              | [Grok 2 Prompts & Examples](https:\u002F\u002Fgrokaimodel.com\u002Fprompts\u002F)                                                                     |\n\n\n## 5. Prompt Engineering Communities\n\n## Social Media Groups for Prompt Engineering\n\n## Reddit Communities\n\n| **Community Name**            | **Description** | **Link** |\n|-------------------------------|-----------------|----------|\n| r\u002FChatGPTJailbreak            | Community dedicated to ChatGPT jailbreak techniques. | [r\u002FChatGPTJailbreak](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FChatGPTJailbreak\u002F) |\n| r\u002FChatGPTPromptGenius         | Subreddit focused on sharing and discovering GPT prompts. | [r\u002FChatGPTPromptGenius](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FChatGPTPromptGenius\u002F) |\n| r\u002Fchatgpt_promptDesign        | Dedicated to designing effective ChatGPT prompts. | [r\u002Fchatgpt_promptDesign](https:\u002F\u002Fwww.reddit.com\u002Fr\u002Fchatgpt_promptDesign\u002F) |\n| r\u002FPromptEngineering           | Discussion subreddit for prompt engineering topics. | [r\u002FPromptEngineering](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FPromptEngineering\u002F) |\n| r\u002FPromptDesign                | Community for discussing prompt design strategies. | [r\u002FPromptDesign](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FPromptDesign\u002F) |\n| r\u002FMachineLearning             | Machine learning discussions, including GPT and LLMs. | [r\u002FMachineLearning](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FMachineLearning\u002F) |\n| r\u002FGPT_jailbreaks              | A forum for discussions on GPT jailbreak methods. | [r\u002FGPT_jailbreaks](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FGPT_jailbreaks\u002F) |\n| r\u002FChatGptDAN                  | Community focused on DAN mode and ChatGPT jailbreaks. | [r\u002FChatGptDAN](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FChatGptDAN\u002F) |\n| r\u002FPromptSharing               | Platform to share and discover prompts with the community. | [r\u002FPromptSharing](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FPromptSharing\u002F) |\n| r\u002FPromptWizardry              | A subreddit for creative and advanced prompting techniques. | [r\u002FPromptWizardry](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FPromptWizardry\u002F) |\n| r\u002FPromptWizards               | A community for experts in prompt engineering. | [r\u002FPromptWizards](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FPromptWizards\u002F) |\n| r\u002FChatGPT_Prompts             | Community for sharing ChatGPT prompts. | [r\u002FChatGPT_Prompts](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FChatGPT_Prompts\u002F) |\n| r\u002Fpromptrequest               | A community for users to request help with generating prompts for AI art, writing, games, and more. | [r\u002Fpromptrequest](https:\u002F\u002Fwww.reddit.com\u002Fr\u002Fpromptrequest\u002F) |\n\n## Facebook Communities\n\n| **Community Name**                     | **Description**                                           | **Link** |\n|----------------------------------------|-----------------------------------------------------------|----------|\n| ChatGPT Prompt Engineers               | Group for discussions on ChatGPT, AI news, and LLMs.      | [Facebook Group](https:\u002F\u002Fwww.facebook.com\u002Fgroups\u002Fchatgptpromptengineers\u002F) |\n| AI Image Creator Prompts               | Group dedicated to sharing prompts for AI image generation.| [Facebook Group](https:\u002F\u002Fwww.facebook.com\u002Fgroups\u002F291344450322662\u002F) |\n| Prompt Engineering: ChatGPT Hiring and Recruiting | Group focused on prompt engineering hiring and recruitment.| [Facebook Group](https:\u002F\u002Fwww.facebook.com\u002Fgroups\u002F950660259275734\u002F) |\n| AI Prompt Shares                       | Community for sharing AI-generated prompts.               | [Facebook Group](https:\u002F\u002Fwww.facebook.com\u002Fgroups\u002Faipromptshares\u002F) |\n\n## Discord Communities for Prompt Engineering\n\n| **Community Name**            | **Description** | **Link** |\n|-------------------------------|-----------------|----------|\n| Attention Architects          | Open-source community for prompt engineering experts. | [Attention Architects](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| ChatGPT Prompt Engineering     | Discord server dedicated to prompt engineering. | [ChatGPT Prompt Engineering](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| ChatGPT Community             | General ChatGPT community on Discord. | [ChatGPT Community](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| Reddit's ChatGPT Discord      | r\u002Fchatgpt's official Discord server. | [Reddit ChatGPT](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| PromptsLab                    | Knowledge-sharing community for generative models and LLMs. | [PromptsLab](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| Learn Prompting               | Discord server dedicated to learning prompt techniques. | [Learn Prompting](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| Artificial Intelligence       | Discord server for AI enthusiasts and prompt engineers. | [Artificial Intelligence](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| OpenAI Discord                | Official Discord server for OpenAI. | [OpenAI Discord](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| Promptify Discord             | Promptify's Discord for prompt engineering and LLMs. | [Promptify Discord](https:\u002F\u002Fdiscord.gg\u002Fm88xfYMbK6) |\n| MidJourney Discord            | Community focused on MidJourney AI models. | [MidJourney Discord](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n\n## Other Prompt Engineering Communities and Forums\n\n| **Platform**   | **Description** | **Link** |\n|----------------|-----------------|----------|\n| altenens.is    | Forum for sharing ChatGPT tools and resources. | [altenens ChatGPT Tools](https:\u002F\u002Faltenens.is\u002Fforums\u002Fchatgpt-tools) |\n| onehack.us     | Platform for discovering and sharing GPT prompts. | [onehack.us Prompts](https:\u002F\u002Fonehack.us\u002Fprompt) |\n| Hugging Face Forum | Forum for discussing Hugging Face models, including transformers and GPT. | [Hugging Face Forum](https:\u002F\u002Fdiscuss.huggingface.co\u002F) |\n\n## 6. Freelance & Job Opportunities\n\n## Job Websites for Prompt Engineers\n\n1. [Prompt Engineer Jobs](https:\u002F\u002Fpromptengineerjobs.io\u002Fjobs) - Dedicated to various prompt engineering roles.\n2. [Moai Jobs - Prompt Engineering](https:\u002F\u002Fwww.moaijobs.com\u002Fprompt-engineering-jobs) - Lists prompt engineering and AI-related positions.\n3. [Prompt Engineer Jobs Org](https:\u002F\u002Fpromptengineerjobs.org\u002F) - Platform featuring prompt engineering jobs.\n4. [AI Jobs Net - Prompt Engineering](https:\u002F\u002Faijobs.net\u002Flist\u002Fprompt-engineering-related-jobs\u002F) - Collection of jobs in AI, with a section for prompt engineers.\n5. [AI Jobs](https:\u002F\u002Faijobs.ai\u002Fprompt-engineer) - A specialized site for jobs in AI, including prompt engineering roles.\n6. [Promptly Hired](https:\u002F\u002Fpromptlyhired.com\u002F) - Jobs in prompt engineering and related fields.\n7. [Upwork - Prompt Engineering](https:\u002F\u002Fwww.upwork.com\u002Fen-gb\u002Ffreelance-jobs\u002Fprompt-engineering\u002F) - Freelance prompt engineering roles.\n8. [Prompt Engineering Jobs](https:\u002F\u002Fprompt-engineering-jobs.com\u002F) - Portal for finding prompt engineering jobs.\n9. [AI Careers - Prompt Engineer](https:\u002F\u002Faicareers.jobs\u002Fjob-category\u002Fprompt-engineer\u002F) - Job board for various AI careers, including prompt engineering.\n\n## Freelance Platforms\n\n| **Platform**      | **Description**                                | **Link**                                                         |\n|-------------------|-----------------------------------------------|------------------------------------------------------------------|\n| **Upwork**        | Freelance platform with prompt engineering jobs. | [Upwork Prompt Engineering Jobs](https:\u002F\u002Fwww.upwork.com\u002Fen-gb\u002Ffreelance-jobs\u002Fprompt-engineering\u002F) |\n| **Fiverr**        | Hire prompt engineers for freelance projects. | [Fiverr Prompt Engineers](https:\u002F\u002Fgo.fiverr.com\u002Fvisit\u002F?bta=1056572&brand=fp) |\n| **Freelancer**    | Freelance platform for prompt engineering roles. | [Freelancer Prompt Engineering](https:\u002F\u002Fwww.freelancer.com\u002Fjobs\u002Fprompt-engineering#) |\n| **Toptal**        | Platform connecting top prompt engineers for freelance opportunities. | [Toptal Prompt Engineers](https:\u002F\u002Fwww.toptal.com\u002Fprompt-engineers) |\n\n## 7. Contributing & Code of Conduct\n\nContributing\nWe welcome contributions to make this repository a comprehensive resource for prompt engineering enthusiasts. Here’s how you can help:\n\nGuidelines for Contributing\nFollow our step-by-step guide in the CONTRIBUTING.md file to learn how to add new resources, fix errors, or enhance existing sections.\n\nCode of Conduct\nWe strive to maintain a respectful and inclusive community. Please read our Code of Conduct to understand the expected behavior when contributing.\n\nFeedback and Suggestions\nIf you have ideas for improvements, feel free to open an issue or submit a pull request. Constructive feedback is always welcome!\n\n## 8. Support My Work\n\nConsider giving this repository a ⭐️ if you find it helpful, or share it with others who might benefit! Contributions are always welcome—your input and additions help make this resource better for the entire community. Some of the links here may contribute to supporting the project at no extra cost to you. If this project benefits you, consider [sponsoring me on GitHub](https:\u002F\u002Fgithub.com\u002Fsponsors\u002Fzacfrulloni) or [buying me a coffee](https:\u002F\u002Fwww.buymeacoffee.com\u002Fzazacattack) to help support ongoing updates and improvements. \n\nIf you'd like to reach out, feel free to check the [Contact Me section](#13-contact-me). Thank you for your support! 🙏\n\n## 9. Join Our Community on Discord\n\nConnect with other developers, AI enthusiasts, and prompt engineers! We’ve created a Discord server where you can share insights, ask questions, and stay updated on the latest in prompt engineering. It’s a place to collaborate, network, and learn together.\n\n[Join the Discord Server](https:\u002F\u002Fdiscord.gg\u002FBYKsABxW)\n\nFeel free to reach out if you have questions or suggestions in our **#general** or **#feedback** channels. Let’s build a community of knowledge and support.\n\n## 10. License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n© 2024 [zac frulloni]. All rights reserved.\n\n## 11. Disclosure\n\nDisclosure: I am compensated through these affiliate partnerships, and this compensation helps support the resources and ongoing work within this repository. Affiliate links are provided in sections containing resources, including but not limited to learning materials, tools, and community memberships. This disclosure appears on all applicable pages of this repository.\n\n## 12. Contact Me\n\nIf you have any questions, feedback, or suggestions, feel free to reach out! You can contact me via email at: zacfrull `[at]` hotmail `[dot]` com.\n\nLooking forward to hearing from you!\n","欢迎来到 Prompt Engineering Hub（提示工程中心）！本仓库是一个精心策划的资源集合，适合任何对学习和提升提示工程技术感兴趣的人。\n\n[**⭐️ Vibe Coding 免费入门套件 ⭐️**](https:\u002F\u002Fvibe-codingschool.com\u002F)\n\n[**⭐️ 订阅我的 YouTube 频道 ⭐️**](https:\u002F\u002Fwww.youtube.com\u002F@Zac-Frulloni)\n\n[**⭐️ 使用 Vibe Coding 获得你的第一个客户 ⭐️**](https:\u002F\u002Fwww.skool.com\u002Flovable-vibe-coding\u002Fabout)\n\n[**⭐️ 通过推荐客户赚取高达 1000 美元 ⭐️**](https:\u002F\u002Fwww.aidevelopers.tech\u002F)\n\n[**⭐️ Remote OpenClaw — 托管 OpenClaw 的托管与部署服务 ⭐️**](https:\u002F\u002Fremoteopenclaw.com\u002F)\n\n[**⭐️ OpenClaw Bazaar — OpenClaw 技能与角色的市场 ⭐️**](https:\u002F\u002Fopenclawbazaar.com\u002F)\n\n\n## 目录\n\n1. [简介](#1-简介)\n   - [提示工程概述](#提示工程概述)\n   - [本仓库的目的](#本仓库的目的)\n2. [学习资源](#2-学习资源)\n   - [免费教程、视频和指南](#免费教程视频和指南)\n   - [其他指南和仓库](#其他指南和仓库)\n   - [书籍和参考资料](#书籍和参考资料)\n   - [关于提示工程和 ChatGPT 的必读书籍](#关于提示工程和-chatgpt-的必读书籍)\n   - [关于提示工程的 YouTube 视频](#关于提示工程的-youtube-视频)\n   - [专注于 AI 和提示工程的 YouTube 频道](#专注于-ai-和提示工程的-youtube-频道)\n   - [新闻通讯和博客](#新闻通讯和博客)\n   - [关于提示工程的在线课程综合列表](#关于提示工程的在线课程综合列表)\n3. [提示工程工具](#3-提示工程工具)\n   - [提示市场](#提示市场)\n   - [提示生成工具](#提示生成工具)\n   - [提示管理平台](#提示管理平台)\n   - [提示测试与实验](#提示测试与实验)\n   - [提示构建库](#提示构建库)\n   - [其他](#其他)\n4. [提示库、集合与数据集](#4-提示库集合与数据集)\n   - [提示库](#提示库)\n   - [提示集合](#提示集合)\n   - [GPT 商店和库](#gpt-商店和库)\n   - [数据集](#数据集)\n   - [Grok 提示](#grok-提示)\n5. [提示工程社区](#5-提示工程社区)\n   - [提示工程相关的社交媒体群组](#提示工程相关的社交媒体群组)\n     - [Reddit 社区](#reddit-社区)\n     - [Facebook 社区](#facebook-社区)\n   - [提示工程相关的 Discord 社区](#提示工程相关的-discord-社区)\n   - [其他提示工程社区和论坛](#其他提示工程社区和论坛)\n6. [自由职业与工作机会](#6-自由职业与工作机会)\n   - [提示工程师的工作网站](#提示工程师的工作网站)\n   - [自由职业平台](#自由职业平台)\n7. [贡献与行为准则](#7-贡献与行为准则)\n8. [支持我的工作](#8-支持我的工作)\n9. [加入我们的 Discord 社区](#9-加入我们的-discord-社区)\n10. [许可证](#10-许可证)\n11. [免责声明](#11-免责声明)\n12. [联系我](#12-联系我)\n\n## 1. 简介\n\n\n欢迎来到 **Prompt Engineering Hub（提示工程中心）**！本仓库是一个精心策划的资源集合，涵盖从初学者基础到高级技术的所有提示工程相关内容。\n\n### 提示工程概述\n\n提示工程涉及设计有效的提示来引导像 GPT-4 这样的 AI 模型，帮助它们生成准确且上下文感知的输出。随着 AI 应用在各行业的扩展，掌握提示工程可以解锁文本生成、情感分析、翻译等领域的强大用例。\n\n### 本仓库的目的\n\n本仓库汇集了必要的资源、工具、模板和最佳实践，以支持所有学习或从事提示工程的人。无论你是刚刚入门还是已有经验，你都可以找到结构化的学习路径、高级技术和实际案例。\n\n每个部分都旨在支持你在提示工程中的成长，让你轻松找到所需的资源。探索、学习，并随时欢迎贡献！\n\n\n## 2. 学习资源\n\n### 免费教程、视频和指南\n\n\n1. **Learn Prompting（学习提示）** - 提示工程及其各种技术的概述。\n   - [元提示完整指南](https:\u002F\u002Fwww.prompthub.us\u002Fblog\u002Fa-complete-guide-to-meta-prompting#what-is-meta-prompting?) - 元提示是一种使用大型语言模型（LLMs）创建和优化提示的提示工程技术。\n2. **使用 OpenAI API 的提示工程最佳实践** - OpenAI 提供的提示工程最佳实践指南。\n   - [Brex 的提示工程指南](https:\u002F\u002Fgithub.com\u002Fbrexhq\u002Fprompt-engineering) - 使用像 OpenAI 的 GPT-4 这样的大型语言模型时的小技巧。\n   - [提示工程教程 – 掌握 ChatGPT 和 LLM 响应](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=_ZvnD73m40o)\n3. **Awesome GPT Super Prompting（超棒的 GPT 超级提示）** - 包括越狱、提示注入和提示安全在内的高级技术集合。\n   - [Awesome GPT Super Prompting](https:\u002F\u002Fgithub.com\u002FCyberAlbSecOP\u002FAwesome_GPT_Super_Prompting)\n4. **Microsoft 提示工程基础** - 来自微软的全面基础和高级提示工程内容。\n   - [Microsoft - 提示工程基础](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fgenerative-ai-for-beginners\u002Ftree\u002Fmain\u002F04-prompt-engineering-fundamentals)\n   - [Microsoft - 高级提示](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fgenerative-ai-for-beginners\u002Ftree\u002Fmain\u002F05-advanced-prompts)\n5. **Learning Prompt（学习提示）** - 涵盖 ChatGPT 和 Midjourney 教程的免费提示工程课程。\n   - [GitHub 上的 Learning Prompt](https:\u002F\u002Fgithub.com\u002Fthinkingjimmy\u002FLearning-Prompt)\n6. **YouTube 视频教程**\n   - [掌握完美的 ChatGPT 提示公式（8 分钟）](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=jC4v5AS4RIM)\n   - [AI 提示工程：深入探讨（Anthropic）](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=T9aRN5JkmL8)\n   - [ChatGPT 提示工程课程（16 集免费 YouTube 视频）](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=mBYu5NoXBcs&list=PLaWSKUwEzmonq85t2rHwZfuEXotqEnTyR)\n   - [学习提示工程：完整的初学者速成课程（5 小时）](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=LWiMwhDZ9as)\n   - [ChatGPT 提示工程（55 集免费 YouTube 视频）](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=ylEu4fz4eU8&list=PLtPgUfajvh_Z_utkISrRk9tIxvnaR17_X)\n   - [学习 ChatGPT 的提示工程](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=2sEujkZ79E4)\n\n### 其他指南和代码库\n\n\n7. **Prompt-Engineering-Guide** - 涵盖最新论文、资源和提示工程（Prompt Engineering）技术的综合指南。\n   - [dair-ai 提供的 Prompt-Engineering-Guide](https:\u002F\u002Fgithub.com\u002Fdair-ai\u002FPrompt-Engineering-Guide?tab=readme-ov-file)\n8. **Prompt Engineering Techniques** - 专注于高级提示工程技术的代码库。\n   - [Nir Diamant 提供的 Prompt Engineering Techniques](https:\u002F\u002Fgithub.com\u002FNirDiamant\u002FPrompt_Engineering?tab=readme-ov-file)\n\n### 书籍和参考资料\n\n9. [**DALLE Prompt Book**](https:\u002F\u002Fdallery.gallery\u002Fthe-dalle-2-prompt-book\u002F) - 针对图像生成模型（如 DALLE）设计提示（Prompt）的指南。\n10. [**OpenAI Cookbook**](https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-cookbook) - OpenAI 提供的最佳实践和使用语言模型的有效示例集合。\n11. [**Microsoft 的 Prompt Engineering**](https:\u002F\u002Fmicrosoft.github.io\u002Fprompt-engineering\u002F) - 微软提供的关于提示工程基础的资源和指南。\n12. [**主题页面研究论文**](https:\u002F\u002Ftopics-beta.apps.semanticscholar.org\u002Ftopic\u002F20102634420) - 讨论提示工程技术的研究论文。\n\n## 提示工程在线课程综合列表\n\n| **课程名称**                                                                                                     | 🏫 **平台**      | ⭐ **评分\u002F评论数**            | ⏰ **时长**                  | 💰 **费用**   | 🎓 **认证** |\n|------------------------------------------------------------------------------------------------------------------------|-----------------------|-----------------------------------|----------------------------------|---------------|-----------------------|\n| [理解提示工程（Understanding Prompt Engineering）](https:\u002F\u002Fwww.datacamp.com\u002Fcourses\u002Funderstanding-prompt-engineering)                  | DataCamp             | ⭐ 4.4（55 条评论）               | n\u002Fa                              | n\u002Fa           | ✔️ 是               |\n| [ChatGPT 入门（Introduction to ChatGPT）](https:\u002F\u002Fwww.datacamp.com\u002Fcourses\u002Fintroduction-to-chatgpt)                                    | DataCamp             | ⭐ 4.3（295 条评论）              | n\u002Fa                              | n\u002Fa           | ✔️ 是               |\n| [大型语言模型（LLMs）与文本生成（Large Language Models (LLMs) & Text Generation）](https:\u002F\u002Fwww.udacity.com\u002Fcourse\u002Flarge-language-models-and-text-generation--cd13318#plans) | Udacity | n\u002Fa                           | n\u002Fa                              | n\u002Fa           | ✔️ 是               |\n| [学习如何使用 ChatGPT（Learn How to Use ChatGPT）](https:\u002F\u002Fwww.codecademy.com\u002Flearn\u002Fintro-to-chatgpt)                                          | Codecademy           | ⭐ 4.4（3536 条评论）             | 1 小时（初学者）                | n\u002Fa           | ✔️ 是               |\n| [营销中的提示工程（Prompt Engineering for Marketing）](https:\u002F\u002Fwww.codecademy.com\u002Flearn\u002Fprompt-engineering-for-marketing)                  | Codecademy           | ⭐ 4.4（227 条评论）              | 1 小时（初学者）                | n\u002Fa           | ✔️ 是               |\n| [提示工程与高级 ChatGPT（Prompt Engineering and Advanced ChatGPT）](https:\u002F\u002Fedx.sjv.io\u002FQjOkLx) | edX | ⭐ 4.2（148 条评分） | n\u002Fa | £31 | ✔️ 是 |\n| [IBM：提示工程入门（IBM: Introduction to Prompt Engineering）](https:\u002F\u002Fedx.sjv.io\u002FRGyerR) | IBM on edX | ⭐ 4.4（217 条评分） | n\u002Fa | £38 | ✔️ 是 |\n| [面向所有人的生成式 AI（Generative AI for Everyone）](https:\u002F\u002Fedx.sjv.io\u002F7amY6d) | IBM on edX | n\u002Fa                       | 4 个月（每周 1-3 小时）             | £171         | ✔️ 是               |\n| [生成式 AI 基础（Generative AI Fundamentals）](https:\u002F\u002Fedx.sjv.io\u002FqznPKN) | IBM on edX | n\u002Fa                       | 5 个月（每周 2-4 小时）             | £1,156       | ✔️ 是               |\n| [IBM 应用 AI 开发者（IBM Applied AI Developer）](https:\u002F\u002Fedx.sjv.io\u002FjeWq76) | IBM on edX | n\u002Fa                       | 6 个月（每周 2-4 小时）             | £329         | ✔️ 是               |\n| [大型语言模型操作（LLMOps）（Large Language Model Operations (LLMOps)）](https:\u002F\u002Fedx.sjv.io\u002FaO1Eoo) | edX | n\u002Fa | 7 个月（每周 3-6 小时）           | £1,910       | ✔️ 是               |\n| [提示工程专项课程（Prompt Engineering Specialization）](https:\u002F\u002Fimp.i384100.net\u002FYRRVrq)                              | Coursera      | ⭐ 4.8（1862 条评论）       | 1 个月（每周 10 小时）               | n\u002Fa         | ✔️ 是               |\n| [法律提示工程专项课程（Prompt Engineering for Law Specialization）](https:\u002F\u002Fimp.i384100.net\u002FQjjYRz)               | Coursera      | ⭐ 4.8（181 条评论）        | 1 个月（每周 10 小时）               | n\u002Fa         | ✔️ 是               |\n| [教育工作者提示工程专项课程（Prompt Engineering for Educators Specialization）](https:\u002F\u002Fimp.i384100.net\u002F555kXD)   | Coursera      | ⭐ 4.8（97 条评论）         | 1 个月（每周 10 小时）               | n\u002Fa         | ✔️ 是               |\n| [ChatGPT 提示工程（Prompt Engineering for ChatGPT）](https:\u002F\u002Fimp.i384100.net\u002FLKK0z3)                                            | Coursera      | ⭐ 4.8（4042 条评论）       | n\u002Fa                               | n\u002Fa         | ✔️ 是               |\n| [生成式 AI：提示工程基础（Generative AI: Prompt Engineering Basics）](https:\u002F\u002Fimp.i384100.net\u002FPOOz2M)       | Coursera      | ⭐ 4.8（2095 条评论）       | n\u002Fa                               | n\u002Fa         | ✔️ 是               |\n| [开发者 ChatGPT 提示工程（ChatGPT Prompt Engineering for Developers）](https:\u002F\u002Fimp.i384100.net\u002FaOONBq) | Coursera | ⭐ 4.7（1086 条评论）     | n\u002Fa                               | n\u002Fa         | ✔️ 是               |\n| [完整的 AI 提示工程训练营（2024）（The Complete Prompt Engineering for AI Bootcamp (2024)）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fprompt-engineering-for-ai\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.5（49378 条评论）   | 20.5 小时                        | £54.99      | ✔️ 是               |\n| [ChatGPT 完全指南：学习生成式 AI、ChatGPT 及更多（ChatGPT Complete Guide: Learn Generative AI, ChatGPT & More）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fcomplete-ai-guide\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.5（39995 条评论） | 26.5 小时                        | £54.99      | ✔️ 是               |\n| [完整提示工程实践课程（Complete Prompt Engineering Practical Course）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fcomplete-prompt-engineering-practical-course-cpepc\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.6（977 条评论）   | 8 小时                           | £39.99      | ✔️ 是               |\n| [ChatGPT 大师班：AI 和提示工程指南（ChatGPT Masterclass: The Guide to AI & Prompt Engineering）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fchatgpt-ai-masterclass\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.7（3759 条评论）   | 16 小时                          | £59.99      | ✔️ 是               |\n| [所有 AI 内容：ChatGPT、Midjourney、Stable Diffusion 与应用开发（All of AI: ChatGPT, Midjourney, Stable Diffusion & App Dev）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fall-of-ai-chatgpt-midjourney-stable-diffusion-app-dev\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.7（1124 条评论） | 36.5 小时                        | £59.99      | ✔️ 是               |\n| [完整 ChatGPT 提示工程课程（Complete ChatGPT Prompt Engineering Course）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fcomplete-chatgpt-prompt-engineering-course\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.6（373 条评论）    | 10.5 小时                        | £19.99      | ✔️ 是               |\n| [ChatGPT-4 提示工程：ChatGPT、生成式 AI 与 LLM（ChatGPT-4 Prompt Engineering: ChatGPT, Generative AI & LLM）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fchatgpt-pro-expert-prompt-engineering-strategies-udemy-course-bootcamp\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.4（556 条评论） | 4 小时                           | £44.99      | ✔️ 是               |\n| [开源 LLM：本地无审查且安全的 AI 与 RAG（Open-source LLMs: Uncensored & secure AI locally with RAG）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fopen-source-llms-uncensored-secure-ai-locally-with-rag\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.8（475 条评论）    | 10 小时                          | £54.99      | ✔️ 是               |\n| [ChatGPT 完整课程 - ChatGPT 提示工程（ChatGPT Complete Course - Prompt Engineering for ChatGPT）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fchat-gpt\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.4（10082 条评论）  | 5.5 小时                         | £29.99      | ✔️ 是               |\n| [ChatGPT 和 GPT-4 LLM 指南 - 面向所有人的提示工程（ChatGPT and GPT-4 LLM Guide- Prompt Engineering for Everyone）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fprompt-engineering-for-everybody\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.4（654 条评论）   | 3 小时                           | £49.99      | ✔️ 是               |\n| [数据分析提示工程 Python、Pandas、ChatGPT（Prompt Engineering for Data Analysis Python, Pandas, ChatGPT）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fchatgptandpython\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.6（680 条评论）   | 10.5 小时                        | £49.99      | ✔️ 是               |\n| [使用 ChatGPT 4 和 Midjourney 的提示工程 2000+ 提示（Prompt Engineering with ChatGPT 4 & Midjourney 2000+ prompts）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fgptcourse\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.4（1350 条评论）  | 22.5 小时                        | £54.99      | ✔️ 是               |\n| [2024 年终极 ChatGPT 初学者课程（Ultimate ChatGPT Course for Beginners 2024）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fultimate-chatgpt-course-for-beginners\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.7（1308 条评论）  | n\u002Fa                               | £19.99      | ✔️ 是               |\n| [数字营销指南 - 26 合 1 课程（Digital Marketing Guide - 26 Courses in 1）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fdigital-marketing-guide\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.6（38119 条评论） | 72 小时                          | £199.99     | ✔️ 是               |\n| [掌握生成式 AI：轻松实现 AI 自动化内容生成（Master Generative AI: Automate Content Effortlessly with AI）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fai-content-generation\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.4（5081 条评论）  | 11 小时                          | £39.99      | ✔️ 是               |\n| [如何使用 ChatGPT：掌握提示工程的艺术（How to ChatGPT: Master the Art of Prompt Engineering）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Fchatgpt-a-master-guide-for-professionals\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.4（19634 条评论） | 2.5 小时                         | £29.99      | ✔️ 是               |\n| [LangChain - 使用 LangChain 开发基于 LLM 的应用程序（LangChain- Develop LLM powered applications with LangChain）](https:\u002F\u002Fwww.udemy.com\u002Fcourse\u002Flangchain\u002F?couponCode=LEARNNOWPLANS) | Udemy | ⭐ 4.6（19450 条评论） | 9.5 小时                         | £54.99      | ✔️ 是               |\n\n## 提示工程与 ChatGPT 的必备书籍\n\n| 📘 **书名**                                                                                                                                | 🌍 **链接**                                                                                                                                          | ⭐ **评分\u002F评论**          | 💵 **价格**    | 📱 **格式** |\n|--------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------|-----------------|---------------|\n| **[提示工程与 ChatGPT：如何轻松将生产力、创造力提升 10 倍，并在不增加工作强度的情况下赚更多钱](https:\u002F\u002Fwww.amazon.co.uk\u002FPrompt-Engineering-ChatGPT-Productivity-Creativity-ebook\u002Fdp\u002FB0CP3CKHMN\u002Fref=sr_1_16?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FPrompt-Engineering-ChatGPT-Productivity-Creativity-ebook\u002Fdp\u002FB0CP3CKHMN&tag=zacfrulloni01-21) | ⭐ 3.9（84 条评论）            | £7.61           | Kindle        |\n| **[你唯一需要的 ChatGPT 提示书](https:\u002F\u002Fwww.amazon.co.uk\u002FOnly-ChatGPT-Prompts-Book-Youll\u002Fdp\u002FB0CWB7KYW9\u002Fref=sr_1_17?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FOnly-ChatGPT-Prompts-Book-Youll\u002Fdp\u002FB0CWB7KYW9&tag=zacfrulloni01-21)                            | ⭐ 4.1（78 条评分）             | £7.97           | Kindle        |\n| **[ChatGPT 初学者简易指南：掌握提示，提高生产力并获利](https:\u002F\u002Fwww.amazon.co.uk\u002FChatGPT-Beginners-Made-Easy-Conversational\u002Fdp\u002FB0CQ7SSRFP\u002Fref=sr_1_1_sspa?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FChatGPT-Beginners-Made-Easy-Conversational\u002Fdp\u002FB0CQ7SSRFP&tag=zacfrulloni01-21)                 | ⭐ 4.0（62 条评论）             | £5.99           | Kindle        |\n| **[生成式 AI 的提示工程：面向可靠 AI 输出的未来输入](https:\u002F\u002Fwww.amazon.co.uk\u002FPrompt-Engineering-Generative-AI-Future-Proof\u002Fdp\u002F109815343X\u002Fref=sr_1_3?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FPrompt-Engineering-Generative-AI-Future-Proof\u002Fdp\u002F109815343X&tag=zacfrulloni01-21)              | ⭐ 4.5（30 条评论）             | £46.29          | Kindle        |\n| **[ChatGPT 提示工程的艺术：实践指南](https:\u002F\u002Fwww.amazon.co.uk\u002FArt-Prompt-Engineering-chatGPT-Hands\u002Fdp\u002F1739296710\u002Fref=sr_1_6?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FArt-Prompt-Engineering-chatGPT-Hands\u002Fdp\u002F1739296710&tag=zacfrulloni01-21)                       | ⭐ 4.1（232 条评分）            | £9.99           | Kindle        |\n| **[ChatGPT 提示工程的艺术：无障碍版本](https:\u002F\u002Fwww.amazon.co.uk\u002FArt-Prompt-Engineering-ChatGPT-Accessible-ebook\u002Fdp\u002FB0BZ4T68Q4\u002Fref=sr_1_11?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FArt-Prompt-Engineering-ChatGPT-Accessible-ebook\u002Fdp\u002FB0BZ4T68Q4&tag=zacfrulloni01-21)            | ⭐ 4.4（106 条评论）            | £9.99           | Kindle        |\n| **[ChatGPT 终极指南：初学者提示工程手册](https:\u002F\u002Fwww.amazon.co.uk\u002FUltimate-Guide-ChatGPT-understanding-intelligence\u002Fdp\u002FB0C2RRQDMV\u002Fref=sr_1_13_sspa?crid=38L6HXGTLABQM&tag=zacfrulloni01-21)** | [Amazon UK](https:\u002F\u002Fwww.amazon.co.uk\u002FUltimate-Guide-ChatGPT-understanding-intelligence\u002Fdp\u002FB0C2RRQDMV&tag=zacfrulloni01-21)          | ⭐ 4.2（112 条评论）            | £7.99           | Kindle        |\n\n## 关于提示工程的 YouTube 视频\n\n| **视频标题** | **链接** |\n|-----------------|----------|\n| **EfficientML.ai 第 20 讲：高效微调与提示工程（MIT 6.5940，2023 年秋季）** | [在 YouTube 上观看](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=vOPwwRCZ8q8) |\n| **开源 LLM 的提示工程** | [在 YouTube 上观看](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=f32dc5M2Mn0) |\n| **高级 ChatGPT 提示工程** | [在 YouTube 上观看](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=bBiTR_1sEmI) |\n| **ChatGPT：初学者的 5 个提示工程秘诀** | [在 YouTube 上观看](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=2zg3V66-Fzs) |\n| **ChatGPT 指南：通过更好的提示将结果提升 10 倍** | [在 YouTube 上观看](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=os-JX1ZQwIA) |\n| **Promptbreeder：通过提示进化实现自我参照的自我改进（论文解读）** | [在 YouTube 上观看](https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=tkX0EfNl4Fc) |\n\n## 专注于 AI 和提示工程的 YouTube 频道\n\n| **频道名称** | **链接** |\n|------------------|----------|\n| **提示工程** | [@engineerprompt](https:\u002F\u002Fwww.youtube.com\u002F@engineerprompt) |\n| **They Call Me Hoz** | [@theycallmehoz](https:\u002F\u002Fwww.youtube.com\u002F@theycallmehoz) |\n| **Jeff Su** | [@JeffSu](https:\u002F\u002Fwww.youtube.com\u002F@JeffSu) |\n| **AI Master** | [@iamAImaster](https:\u002F\u002Fwww.youtube.com\u002F@iamAImaster) |\n| **AssemblyAI** | [@AssemblyAI](https:\u002F\u002Fwww.youtube.com\u002F@AssemblyAI) |\n| **Hasan Aboul Hasan** | [@hasanaboulhasan](https:\u002F\u002Fwww.youtube.com\u002F@hasanaboulhasan) |\n| **AI Foundations** | [@ai-foundations](https:\u002F\u002Fwww.youtube.com\u002F@ai-foundations) |\n| **提示工程师** | [@PromptEngineer48](https:\u002F\u002Fwww.youtube.com\u002F@PromptEngineer48) |\n| **All About AI** | [@AllAboutAI](https:\u002F\u002Fwww.youtube.com\u002F@AllAboutAI) |\n| **The AI Advantage** | [@aiadvantage](https:\u002F\u002Fwww.youtube.com\u002F@aiadvantage) |\n| **Yannic Kilcher** | [@YannicKilcher](https:\u002F\u002Fwww.youtube.com\u002F@YannicKilcher) |\n| **PromptHub** | [@PromptHub](https:\u002F\u002Fwww.youtube.com\u002F@PromptHub_AI) |\n\n## 新闻通讯和博客\n\n| **频道名称**                     | **描述**                                            | **链接**                                |\n|--------------------------------------|------------------------------------------------------------|-----------------------------------------|\n| **The Prompt Engineering Substack**  | 关于提示工程技术、工具和最佳实践的教育性文章。 | [访问 Substack](https:\u002F\u002Fprompthub.substack.com\u002F) |\n| **PromptHub 博客**                   | 关于提示工程的深度文章、指南和见解。 | [访问博客](https:\u002F\u002Fwww.prompthub.us\u002Fblog) |\n\n## 3. 提示工程工具\n\n## 提示市场\n\n| **工具**              | **链接** |\n|-----------------------|----------|\n| **PromptBase**        | [PromptBase](https:\u002F\u002Fpromptbase.com\u002F) |\n\n## 提示生成工具\n\n| **工具**                     | **链接** |\n|------------------------------|----------|\n| **YiVal**                    | [YiVal](https:\u002F\u002Fgithub.com\u002FYiVal\u002FYiVal) |\n| **GPT Prompt Engineer**      | [GPT Prompt Engineer](https:\u002F\u002Fgithub.com\u002Fmshumer\u002Fgpt-prompt-engineer) |\n| **Promptify**                | [Promptify](https:\u002F\u002Fgithub.com\u002Fpromptslab\u002FPromptify) |\n| **HuggingFace ChatGPT 提示生成器** | [HuggingFace ChatGPT Prompt Generator](https:\u002F\u002Fhuggingface.co\u002Fspaces\u002Fmerve\u002FChatGPT-prompt-generator) |\n| **PromptHub 提示生成器** | [PromptHub Prompt Generator](https:\u002F\u002Fwww.prompthub.us\u002Ffeatures\u002Fprompt-generator) |\n\n\n## 提示管理平台\n\n| **工具**                   | **描述** | **链接** |\n|----------------------------|-----------------|----------|\n| **Puzzlet**               | 使用基于 Git 的提示管理、详细的可追溯性和可操作的指标来简化您的 GenAI 工作流程。 | [Puzzlet](https:\u002F\u002Fwww.puzzlet.ai) |\n| **Opik**                   | 开源端到端 LLM（大语言模型）开发平台 | [Opik](https:\u002F\u002Fgithub.com\u002Fcomet-ml\u002Fopik) |\n| **Agenta**                 | 全栈 LLM 开发者平台，支持提示管理 | [Agenta](https:\u002F\u002Fgithub.com\u002Fagenta-ai\u002Fagenta) |\n| **PromptInject**           | 用于模块化提示和对抗性提示鲁棒性测试的框架 | [PromptInject](https:\u002F\u002Fgithub.com\u002Fagencyenterprise\u002FPromptInject) |\n| **Langbear**               | 开源 AI 提示管理平台 | [Langbear](https:\u002F\u002Flangbear.runbear.io\u002Fintroduction) |\n| **Agentic Workers**        | 一键高级 ChatGPT 工作流 | [AgenticWorkers](https:\u002F\u002Fagenticworkers.com\u002F) |\n| **PromptHub**              | 在一个地方测试、协作、版本控制和部署提示 | [PromptHub](https:\u002F\u002Fwww.prompthub.us\u002F) |\n\n\n## 提示测试与实验\n\n| **工具**                   | **描述** | **链接** |\n|----------------------------|-----------------|----------|\n| **BetterPrompt**           | LLM 提示的测试套件 | [BetterPrompt](https:\u002F\u002Fgithub.com\u002Fstjordanis\u002Fbetterprompt) |\n| **OpenPrompt**             | 提示学习的开源框架 | [OpenPrompt](https:\u002F\u002Fgithub.com\u002Fthunlp\u002FOpenPrompt) |\n| **Guidance**               | 控制 LLM 输出的编程范式 | [Guidance](https:\u002F\u002Fgithub.com\u002Fguidance-ai\u002Fguidance) |\n| **Prompt Tools**           | 提示测试与实验工具 | [Prompt Tools](https:\u002F\u002Fgithub.com\u002Fhegelai\u002Fprompttools) |\n| **ThoughtSource**          | 链式思维推理工具资源 | [ThoughtSource](https:\u002F\u002Fgithub.com\u002FOpenBioLink\u002FThoughtSource) |\n| **ChatGPT Queue**          | 批量提示和提示链工具 | [ChatGPT Queue](https:\u002F\u002Fchromewebstore.google.com\u002Fdetail\u002Fchatgpt-queue-save-time-w\u002Fiabnajjakkfbclflgaghociafnjclbem?hl=en&authuser=0) |\n\n\n## 提示构建库\n\n| **工具**                   | **描述** | **链接** |\n|----------------------------|-----------------|----------|\n| **Prompt Engine**          | 用于为大型语言模型构建提示的库 | [Prompt Engine](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fprompt-engine) |\n| **PromptDX**          | 一种使用 Markdown 和 JSX 开发 LLM 提示的声明式、可扩展且可组合的方法。 | [PromptDX](https:\u002F\u002Fgithub.com\u002Fpuzzlet-ai\u002Fpromptdx) |\n| **ClickPrompt**            | 一键查看、共享和运行提示的工具 | [ClickPrompt](https:\u002F\u002Fgithub.com\u002Fprompt-engineering\u002Fclick-prompt) |\n| **Outlines**               | 结构化文本生成工具包 | [Outlines](https:\u002F\u002Fgithub.com\u002Fdottxt-ai\u002Foutlines) |\n| **PromptSource**           | 创建和共享自然语言提示的工具包 | [PromptSource](https:\u002F\u002Fgithub.com\u002Fbigscience-workshop\u002Fpromptsource) |\n| **PromptMetheus**          | 单次提示工程工具包 | [PromptMetheus](https:\u002F\u002Fpromptmetheus.com\u002F) |\n\n## 其他\n\n| **工具**                   | **描述** | **链接** |\n|----------------------------|-----------------|----------|\n| **PromptKnit**             | 提示设计师的游乐场 | [PromptKnit](https:\u002F\u002Fpromptknit.com\u002F) |\n| **Promptotype**            | 用于开发、测试和监控结构化 LLM 任务的工具 | [Promptotype](https:\u002F\u002Fwww.promptotype.io\u002F) |\n| **OpenICL**                | 用于上下文学习研究和原型设计的框架 | [OpenICL](https:\u002F\u002Fgithub.com\u002FShark-NLP\u002FOpenICL) |\n| **Optimus Prompt AI**      | 用于 LLM 应用程序的实验跟踪和人工标注平台 | [Optimus Prompt AI](https:\u002F\u002Fwww.optimusprompt.ai\u002F) |\n\n## 4.\t提示库、集合与数据集\n\n## 提示库\n\n| **库**                   | **描述** | **链接** |\n|-------------------------------|-----------------|----------|\n| **ai-boost\u002Fawesome-prompts**  | 精选的 ChatGPT 提示列表，包含评分最高的 GPT 模型。涵盖提示工程、攻击与保护技术以及高级论文。 | [ai-boost\u002Fawesome-prompts](https:\u002F\u002Fgithub.com\u002Fai-boost\u002Fawesome-prompts) |\n| **B3o\u002FGPTS-Prompt-Collection**| 针对 GPT 模型的广泛提示集合。 | [B3o\u002FGPTS-Prompt-Collection](https:\u002F\u002Fgithub.com\u002FB3o\u002FGPTS-Prompt-Collection) |\n| **abilzerian\u002FLLM-Prompt-Library** | 面向各种 LLM（如 GPT-4o、Claude 和 Llama3）的高级代码和文本操作提示。 | [abilzerian\u002FLLM-Prompt-Library](https:\u002F\u002Fgithub.com\u002Fabilzerian\u002FLLM-Prompt-Library) |\n| **yunwei37\u002Fprompt-hacker-collections** | 提示黑客攻击与防御，包含注入和逆向工程示例。 | [yunwei37\u002Fprompt-hacker-collections](https:\u002F\u002Fgithub.com\u002Fyunwei37\u002Fprompt-hacker-collections) |\n| **alphatrait\u002F100000-ai-prompts-by-contentifyai** | 包含 100,000 多个 ChatGPT 提示的广泛集合，涵盖商业、娱乐等多个主题。 | [alphatrait\u002F100000-ai-prompts-by-contentifyai](https:\u002F\u002Fgithub.com\u002Falphatrait\u002F100000-ai-prompts-by-contentifyai) |\n| **DummyKitty\u002FCyber-Security-chatGPT-prompt** | 专注于安全性的 ChatGPT 提示库。 | [DummyKitty\u002FCyber-Security-chatGPT-prompt](https:\u002F\u002Fgithub.com\u002FDummyKitty\u002FCyber-Security-chatGPT-prompt) |\n\n## 提示集合\n\n| **集合**                    | **描述** | **链接** |\n|-----------------------------|-----------|----------|\n| **FlowGPT**                 | 最大的开源提示共享社区。 | [FlowGPT](https:\u002F\u002Fflowgpt.com) |\n| **awesomegptprompts.com**   | 数百个精选的 ChatGPT 提示（ChatGPT 是一种对话式生成预训练模型）。 | [awesomegptprompts.com](https:\u002F\u002Fawesomegptprompts.com) |\n| **fka\u002Fawesome-chatgpt-prompts** | 包含精选 ChatGPT 提示的数据集，用于增强使用效果。 | [fka\u002Fawesome-chatgpt-prompts](https:\u002F\u002Fgithub.com\u002Ffka\u002Fawesome-chatgpt-prompts) |\n| **PromptHub**               | 各种最新的提示工程模板（Prompt Engineering 是一种优化提示的技术）。 | [PromptHub](https:\u002F\u002Fapp.prompthub.us\u002Ftemplates) |\n| **Snack Prompt**            | 提示集合，附带 Chrome 扩展程序以便快速访问。 | [Snack Prompt](https:\u002F\u002Fsnackprompt.com) |\n| **Prompt Search**           | 用于查找 AI 提示的搜索引擎。 | [Prompt Search](https:\u002F\u002Fpromptsearch.com) |\n| **The Prompt Index**        | 精选的广泛提示索引。 | [The Prompt Index](https:\u002F\u002Fthepromptindex.com) |\n| **PromptDen**               | 拥有数千个文本和图像生成提示的平台，并为提示工程师提供个人资料功能。 | [PromptDen](https:\u002F\u002Fpromptden.com) |\n| **PromptChains**            | 提示链在使用大语言模型（LLMs）时最大化智能和结果。 | [PromptChains](https:\u002F\u002Fgithub.com\u002FMIATECHPARTNERS\u002FPromptChains) |\n\n## GPT 商店与库\n\n| **商店\u002F库**                | **描述** | **链接** |\n|----------------------------|-----------|----------|\n| **Awesome GPT Store**      | 综合性 GPT 商店，包含主要的公共 GPT 模型。 | [Awesome GPT Store](https:\u002F\u002Fgithub.com\u002FAnil-matcha\u002FAwesome-GPT-Store) |\n| **Awesome GPTs Big List**  | 公开可用的著名 GPT 模型的大列表。 | [Awesome GPTs Big List](https:\u002F\u002Fgithub.com\u002Ffriuns2\u002FAwesome-GPTs-Big-List) |\n| **BestGPTs**               | 针对各种应用排名靠前的 OpenAI GPT 模型。 | [BestGPTs](https:\u002F\u002Fgithub.com\u002FAgentOps-AI\u002FBestGPTs) |\n| **Awesome GPT Agents**     | 精选的 GPT 代理列表，特别适用于网络安全领域。 | [Awesome GPT Agents](https:\u002F\u002Fgithub.com\u002Ffr0gger\u002FAwesome-GPT-Agents) |\n\n## 数据集\n\n| **数据集名称**             | **描述**                                                                                                                                                                                                                                     | **链接** |\n|----------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------|\n| **P3 (Public Pool of Prompts)** | 包含多种自然语言处理任务的英语提示数据集。 | [HuggingFace](https:\u002F\u002Fhuggingface.co\u002Fdatasets\u002Fbigscience\u002FP3) |\n| **Awesome ChatGPT Prompts** | 该存储库包含精选的 ChatGPT 提示，以增强交互效果。 | [GitHub](https:\u002F\u002Fgithub.com\u002Ff\u002Fawesome-chatgpt-prompts) |\n| **Red Team Attempts**       | 由 Anthropic 创建的“红队”尝试数据集，用于对抗性测试模型并检测潜在有害输出。 | [GitHub](https:\u002F\u002Fgithub.com\u002Fanthropics\u002Fhh-rlhf\u002Ftree\u002Fmaster\u002Fred-team-attempts) |\n| **DiffusionDB**             | 大规模的文本到图像提示数据集，基于 Stable Diffusion 模型提供提示画廊。 | [GitHub](https:\u002F\u002Fgithub.com\u002Fpoloclub\u002Fdiffusiondb) |\n| **Real Toxicity Prompts**   | 来自网络的 10 万个句子片段数据集，用于研究减少神经模型中的毒性退化问题。 | [HuggingFace](https:\u002F\u002Fhuggingface.co\u002Fdatasets\u002Fallenai\u002Freal-toxicity-prompts) |\n| **Stable Diffusion Prompts** | 来自 \"Lexica.art\" 的约 8 万个 Stable Diffusion 提示。由于 API 限制，数据提取具有挑战性。 | [HuggingFace](https:\u002F\u002Fhuggingface.co\u002Fdatasets\u002FGustavosta\u002FStable-Diffusion-Prompts) |\n\n## Grok 提示\n\n| **资源标题**               | **链接**                                                                                                                           |\n|----------------------------|-----------------------------------------------------------------------------------------------------------------------------------|\n| **9 Prompt Tests: Grok 2.0\u002FFlux.1, Midjourney** | [9 Prompt Tests: Grok 2.0\u002FFlux.1, Midjourney](https:\u002F\u002Fmedium.com\u002F@tanshaoyu160\u002F9-prompt-tests-grok-2-0-flux-1-midjourney-whos-more-powerful-595e3012d48b) |\n| **Grok 2 Prompts & Examples** | [Grok 2 Prompts & Examples](https:\u002F\u002Fgrokaimodel.com\u002Fprompts\u002F)                                                                     |\n\n\n## 5. 提示工程社区\n\n## 提示工程相关的社交媒体群组\n\n## Reddit Communities\n\n| **Community Name**            | **Description** | **Link** |\n|-------------------------------|-----------------|----------|\n| r\u002FChatGPTJailbreak            | Community dedicated to ChatGPT jailbreak techniques. | [r\u002FChatGPTJailbreak](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FChatGPTJailbreak\u002F) |\n| r\u002FChatGPTPromptGenius         | Subreddit focused on sharing and discovering GPT prompts. | [r\u002FChatGPTPromptGenius](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FChatGPTPromptGenius\u002F) |\n| r\u002Fchatgpt_promptDesign        | Dedicated to designing effective ChatGPT prompts. | [r\u002Fchatgpt_promptDesign](https:\u002F\u002Fwww.reddit.com\u002Fr\u002Fchatgpt_promptDesign\u002F) |\n| r\u002FPromptEngineering           | Discussion subreddit for prompt engineering topics. | [r\u002FPromptEngineering](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FPromptEngineering\u002F) |\n| r\u002FPromptDesign                | Community for discussing prompt design strategies. | [r\u002FPromptDesign](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FPromptDesign\u002F) |\n| r\u002FMachineLearning             | Machine learning discussions, including GPT and LLMs. | [r\u002FMachineLearning](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FMachineLearning\u002F) |\n| r\u002FGPT_jailbreaks              | A forum for discussions on GPT jailbreak methods. | [r\u002FGPT_jailbreaks](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FGPT_jailbreaks\u002F) |\n| r\u002FChatGptDAN                  | Community focused on DAN mode and ChatGPT jailbreaks. | [r\u002FChatGptDAN](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FChatGptDAN\u002F) |\n| r\u002FPromptSharing               | Platform to share and discover prompts with the community. | [r\u002FPromptSharing](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FPromptSharing\u002F) |\n| r\u002FPromptWizardry              | A subreddit for creative and advanced prompting techniques. | [r\u002FPromptWizardry](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FPromptWizardry\u002F) |\n| r\u002FPromptWizards               | A community for experts in prompt engineering. | [r\u002FPromptWizards](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FPromptWizards\u002F) |\n| r\u002FChatGPT_Prompts             | Community for sharing ChatGPT prompts. | [r\u002FChatGPT_Prompts](https:\u002F\u002Fwww.reddit.com\u002Fr\u002FChatGPT_Prompts\u002F) |\n| r\u002Fpromptrequest               | A community for users to request help with generating prompts for AI art, writing, games, and more. | [r\u002Fpromptrequest](https:\u002F\u002Fwww.reddit.com\u002Fr\u002Fpromptrequest\u002F) |\n\n## Facebook Communities\n\n| **Community Name**                     | **Description**                                           | **Link** |\n|----------------------------------------|-----------------------------------------------------------|----------|\n| ChatGPT Prompt Engineers               | Group for discussions on ChatGPT, AI news, and LLMs.      | [Facebook Group](https:\u002F\u002Fwww.facebook.com\u002Fgroups\u002Fchatgptpromptengineers\u002F) |\n| AI Image Creator Prompts               | Group dedicated to sharing prompts for AI image generation.| [Facebook Group](https:\u002F\u002Fwww.facebook.com\u002Fgroups\u002F291344450322662\u002F) |\n| Prompt Engineering: ChatGPT Hiring and Recruiting | Group focused on prompt engineering hiring and recruitment.| [Facebook Group](https:\u002F\u002Fwww.facebook.com\u002Fgroups\u002F950660259275734\u002F) |\n| AI Prompt Shares                       | Community for sharing AI-generated prompts.               | [Facebook Group](https:\u002F\u002Fwww.facebook.com\u002Fgroups\u002Faipromptshares\u002F) |\n\n## Discord Communities for Prompt Engineering\n\n| **Community Name**            | **Description** | **Link** |\n|-------------------------------|-----------------|----------|\n| Attention Architects          | Open-source community for prompt engineering experts. | [Attention Architects](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| ChatGPT Prompt Engineering     | Discord server dedicated to prompt engineering. | [ChatGPT Prompt Engineering](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| ChatGPT Community             | General ChatGPT community on Discord. | [ChatGPT Community](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| Reddit's ChatGPT Discord      | r\u002Fchatgpt's official Discord server. | [Reddit ChatGPT](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| PromptsLab                    | Knowledge-sharing community for generative models and LLMs. | [PromptsLab](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| Learn Prompting               | Discord server dedicated to learning prompt techniques. | [Learn Prompting](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| Artificial Intelligence       | Discord server for AI enthusiasts and prompt engineers. | [Artificial Intelligence](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| OpenAI Discord                | Official Discord server for OpenAI. | [OpenAI Discord](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n| Promptify Discord             | Promptify's Discord for prompt engineering and LLMs. | [Promptify Discord](https:\u002F\u002Fdiscord.gg\u002Fm88xfYMbK6) |\n| MidJourney Discord            | Community focused on MidJourney AI models. | [MidJourney Discord](https:\u002F\u002Fdiscord.gg\u002Fyourlink) |\n\n## Other Prompt Engineering Communities and Forums\n\n| **Platform**   | **Description** | **Link** |\n|----------------|-----------------|----------|\n| altenens.is    | Forum for sharing ChatGPT tools and resources. | [altenens ChatGPT Tools](https:\u002F\u002Faltenens.is\u002Fforums\u002Fchatgpt-tools) |\n| onehack.us     | Platform for discovering and sharing GPT prompts. | [onehack.us Prompts](https:\u002F\u002Fonehack.us\u002Fprompt) |\n| Hugging Face Forum | Forum for discussing Hugging Face models, including transformers and GPT. | [Hugging Face Forum](https:\u002F\u002Fdiscuss.huggingface.co\u002F) |\n\n## 6. Freelance & Job Opportunities\n\n## Job Websites for Prompt Engineers\n\n1. [Prompt Engineer Jobs](https:\u002F\u002Fpromptengineerjobs.io\u002Fjobs) - Dedicated to various prompt engineering roles.\n2. [Moai Jobs - Prompt Engineering](https:\u002F\u002Fwww.moaijobs.com\u002Fprompt-engineering-jobs) - Lists prompt engineering and AI-related positions.\n3. [Prompt Engineer Jobs Org](https:\u002F\u002Fpromptengineerjobs.org\u002F) - Platform featuring prompt engineering jobs.\n4. [AI Jobs Net - Prompt Engineering](https:\u002F\u002Faijobs.net\u002Flist\u002Fprompt-engineering-related-jobs\u002F) - Collection of jobs in AI, with a section for prompt engineers.\n5. [AI Jobs](https:\u002F\u002Faijobs.ai\u002Fprompt-engineer) - A specialized site for jobs in AI, including prompt engineering roles.\n6. [Promptly Hired](https:\u002F\u002Fpromptlyhired.com\u002F) - Jobs in prompt engineering and related fields.\n7. [Upwork - Prompt Engineering](https:\u002F\u002Fwww.upwork.com\u002Fen-gb\u002Ffreelance-jobs\u002Fprompt-engineering\u002F) - Freelance prompt engineering roles.\n8. [Prompt Engineering Jobs](https:\u002F\u002Fprompt-engineering-jobs.com\u002F) - Portal for finding prompt engineering jobs.\n9. [AI Careers - Prompt Engineer](https:\u002F\u002Faicareers.jobs\u002Fjob-category\u002Fprompt-engineer\u002F) - Job board for various AI careers, including prompt engineering.\n\n## 自由职业平台\n\n| **平台**      | **描述**                                | **链接**                                                         |\n|-------------------|-----------------------------------------------|------------------------------------------------------------------|\n| **Upwork**        | 提供提示工程（Prompt Engineering）相关工作的自由职业平台。 | [Upwork 提示工程工作](https:\u002F\u002Fwww.upwork.com\u002Fen-gb\u002Ffreelance-jobs\u002Fprompt-engineering\u002F) |\n| **Fiverr**        | 雇佣提示工程师完成自由职业项目。 | [Fiverr 提示工程师](https:\u002F\u002Fgo.fiverr.com\u002Fvisit\u002F?bta=1056572&brand=fp) |\n| **Freelancer**    | 提供提示工程角色的自由职业平台。 | [Freelancer 提示工程](https:\u002F\u002Fwww.freelancer.com\u002Fjobs\u002Fprompt-engineering#) |\n| **Toptal**        | 连接顶尖提示工程师的自由职业机会平台。 | [Toptal 提示工程师](https:\u002F\u002Fwww.toptal.com\u002Fprompt-engineers) |\n\n## 7. 贡献与行为准则\n\n贡献\n我们欢迎任何贡献，使本仓库成为提示工程爱好者们的综合资源库。以下是您可以提供帮助的方式：\n\n贡献指南\n请遵循 CONTRIBUTING.md 文件中的分步指南，学习如何添加新资源、修复错误或改进现有内容。\n\n行为准则\n我们致力于维护一个尊重和包容的社区。请阅读我们的《行为准则》，了解在贡献时应遵守的行为规范。\n\n反馈与建议\n如果您有改进建议，请随时提交问题或发起拉取请求。我们始终欢迎建设性反馈！\n\n## 8. 支持我的工作\n\n如果您觉得本仓库对您有所帮助，请考虑给它点一个 ⭐️，或者分享给可能受益的其他人！您的贡献总是受欢迎的——您的输入和补充有助于让整个社区更好地利用这一资源。这里的一些链接可能会为项目提供支持，且不会给您带来额外费用。如果本项目对您有所帮助，请考虑通过 [GitHub 赞助我](https:\u002F\u002Fgithub.com\u002Fsponsors\u002Fzacfrulloni)，或 [给我买杯咖啡](https:\u002F\u002Fwww.buymeacoffee.com\u002Fzazacattack)，以支持持续的更新和改进。\n\n如果您想联系我，请查看[联系我部分](#13-联系我)。感谢您的支持！🙏\n\n## 9. 加入我们的 Discord 社区\n\n与其他开发者、AI 爱好者和提示工程师建立联系！我们创建了一个 Discord 服务器，您可以在其中分享见解、提出问题，并及时了解提示工程领域的最新动态。这是一个协作、交流和共同学习的地方。\n\n[加入 Discord 服务器](https:\u002F\u002Fdiscord.gg\u002FBYKsABxW)\n\n如果您有任何问题或建议，欢迎在我们的 **#general** 或 **#feedback** 频道中提出。让我们一起构建一个知识共享和支持的社区。\n\n## 10. 许可证\n\n本项目采用 MIT 许可证授权——详情请参阅 [LICENSE](LICENSE) 文件。\n\n© 2024 [zac frulloni]。保留所有权利。\n\n## 11. 免责声明\n\n免责声明：我通过这些联盟伙伴关系获得补偿，这有助于支持本仓库内的资源和持续工作。联盟链接出现在包含资源的部分，包括但不限于学习材料、工具和社区会员资格。此免责声明出现在本仓库的所有适用页面上。\n\n## 12. 联系我\n\n如果您有任何问题、反馈或建议，请随时联系我！您可以通过电子邮件联系我：zacfrull `[at]` hotmail `[dot]` com。\n\n期待您的来信！","# Prompt-Engineering-Holy-Grail 快速上手指南\n\nPrompt Engineering Hub 是一个专注于学习和提升提示工程（Prompt Engineering）技术的开源资源库。以下是快速上手指南，帮助开发者快速开始使用。\n\n---\n\n## 环境准备\n\n### 系统要求\n- 操作系统：Windows、macOS 或 Linux\n- Python 版本：建议 3.8 及以上\n- Git 工具：用于克隆仓库\n\n### 前置依赖\n- 安装 [Git](https:\u002F\u002Fgit-scm.com\u002F)\n- 安装 [Python](https:\u002F\u002Fwww.python.org\u002Fdownloads\u002F) 和 pip\n- （可选）推荐使用国内镜像源加速依赖安装，例如阿里云或清华大学开源镜像站。\n\n---\n\n## 安装步骤\n\n1. 克隆仓库到本地：\n   ```bash\n   git clone https:\u002F\u002Fgithub.com\u002Fyour-repo-url\u002FPrompt-Engineering-Holy-Grail.git\n   cd Prompt-Engineering-Holy-Grail\n   ```\n\n2. 创建虚拟环境（可选但推荐）：\n   ```bash\n   python -m venv venv\n   source venv\u002Fbin\u002Factivate  # macOS\u002FLinux\n   venv\\Scripts\\activate     # Windows\n   ```\n\n3. 安装依赖：\n   使用国内镜像源加速安装：\n   ```bash\n   pip install -r requirements.txt -i https:\u002F\u002Fpypi.tuna.tsinghua.edu.cn\u002Fsimple\n   ```\n\n4. 验证安装是否成功：\n   ```bash\n   python -c \"import your_main_module; print('安装成功！')\"\n   ```\n\n---\n\n## 基本使用\n\n以下是一个简单的使用示例，展示如何通过该工具生成提示并测试效果。\n\n### 示例 1：运行基础提示生成脚本\n```bash\npython generate_prompt.py --input \"请为我生成一段关于人工智能的科普文章\"\n```\n\n### 示例 2：加载预定义提示模板\n```python\nfrom prompt_engineering import load_template\n\ntemplate = load_template(\"science_explanation\")\nresult = template.generate(topic=\"量子计算\")\nprint(result)\n```\n\n### 示例 3：测试提示效果\n运行以下命令以测试不同提示的效果：\n```bash\npython test_prompt.py --prompt \"解释什么是深度学习\" --model gpt-4\n```\n\n---\n\n## 资源推荐\n\n- **免费教程**：\n  - [Learn Prompting](https:\u002F\u002Fwww.prompthub.us\u002Fblog\u002Fa-complete-guide-to-meta-prompting#what-is-meta-prompting?)\n  - [Microsoft Prompt Engineering Fundamentals](https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fgenerative-ai-for-beginners\u002Ftree\u002Fmain\u002F04-prompt-engineering-fundamentals)\n\n- **在线课程**：\n  - [Coursera 提示工程专项课程](https:\u002F\u002Fimp.i384100.net\u002FYRRVrq)\n  - [DataCamp 提示工程入门](https:\u002F\u002Fwww.datacamp.com\u002Fcourses\u002Funderstanding-prompt-engineering)\n\n- **社区支持**：\n  - 加入 Discord 社区：[Prompt Engineering Hub Discord](#9-join-our-community-on-discord)\n\n---\n\n通过以上步骤，您应该能够快速上手并开始使用 Prompt-Engineering-Holy-Grail 工具。更多高级功能和详细文档，请参考完整 README 文件。","一位电商公司的内容运营专员小李，正在为即将到来的双十一购物节准备大量的商品描述文案。他希望通过 AI 模型生成高质量的文案，但发现直接输入简单的指令无法得到满意的结果。\n\n### 没有 Prompt-Engineering-Holy-Grail 时\n- 小李对如何设计有效的提示词毫无头绪，只能反复尝试不同的表达方式，效率极低。  \n- 生成的文案质量参差不齐，有时过于机械化，有时完全偏离商品特点，需要大量手动修改。  \n- 缺乏系统化的学习资源，小李只能在网上零散查找教程，信息碎片化且难以实践。  \n- 每次调整提示词后，缺乏工具来快速测试和对比不同版本的效果，优化过程非常耗时。  \n\n### 使用 Prompt-Engineering-Holy-Grail 后\n- 小李通过 **Prompt-Engineering-Holy-Grail** 提供的学习资源，快速掌握了提示词设计的核心技巧，能够更有针对性地编写指令。  \n- 借助工具中的提示词模板和市场案例，生成的文案更加贴合商品特点，减少了后期修改的工作量。  \n- 工具内置的测试和实验功能让小李可以快速对比不同提示词的效果，显著提升了优化效率。  \n- 小李还通过社区与其他从业者交流经验，获得了更多实用的提示词设计灵感，进一步提升了文案质量。  \n\n**Prompt-Engineering-Holy-Grail** 帮助小李从零基础到高效生成优质文案，大幅缩短了准备时间，为双十一活动的成功奠定了坚实基础。","https:\u002F\u002Foss.gittoolsai.com\u002Fimages\u002Fzacfrulloni_Prompt-Engineering-Holy-Grail_d6523f16.png","zacfrulloni","Zac frulloni","https:\u002F\u002Foss.gittoolsai.com\u002Favatars\u002Fzacfrulloni_a2a2fce2.png",null,"github.com\u002Fzacfrulloni","https:\u002F\u002Fgithub.com\u002Fzacfrulloni",[21,25,29],{"name":22,"color":23,"percentage":24},"HTML","#e34c26",92.2,{"name":26,"color":27,"percentage":28},"Ruby","#701516",5.8,{"name":30,"color":31,"percentage":32},"SCSS","#c6538c",2,675,75,"2026-04-01T22:45:24","MIT",1,"","未说明",{"notes":41,"python":39,"dependencies":42},"README 中未明确提及具体运行环境需求，可能无需特殊配置或依赖。建议查看具体工具或资源链接以获取详细信息。",[],[44,45,46],"图像","开发框架","Agent",[48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67],"ai","artificial-intelligence","generative-ai","prompt","prompt-engineering","prompt-generator","prompt-injection","prompt-learning","prompt-toolkit","prompt-tuning","prompts","prompts-stable-diffusion","ai-prompt-engineer","ai-prompt-engineering","prompt-engineer-course","prompt-engineering-certification","prompt-engineering-course","prompt-engineering-courses","prompt-engineering-github","prompt-engineering-jobs",3,"ready","2026-03-27T02:49:30.150509","2026-04-06T05:32:21.294474",[],[],[75,83,92,100,108,121],{"id":76,"name":77,"github_repo":78,"description_zh":79,"stars":80,"difficulty_score":68,"last_commit_at":81,"category_tags":82,"status":69},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",[45,44,46],{"id":84,"name":85,"github_repo":86,"description_zh":87,"stars":88,"difficulty_score":32,"last_commit_at":89,"category_tags":90,"status":69},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",138956,"2026-04-05T11:33:21",[45,46,91],"语言模型",{"id":93,"name":94,"github_repo":95,"description_zh":96,"stars":97,"difficulty_score":32,"last_commit_at":98,"category_tags":99,"status":69},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。",107662,"2026-04-03T11:11:01",[45,44,46],{"id":101,"name":102,"github_repo":103,"description_zh":104,"stars":105,"difficulty_score":32,"last_commit_at":106,"category_tags":107,"status":69},3704,"NextChat","ChatGPTNextWeb\u002FNextChat","NextChat 是一款轻量且极速的 AI 助手，旨在为用户提供流畅、跨平台的大模型交互体验。它完美解决了用户在多设备间切换时难以保持对话连续性，以及面对众多 AI 模型不知如何统一管理的痛点。无论是日常办公、学习辅助还是创意激发，NextChat 都能让用户随时随地通过网页、iOS、Android、Windows、MacOS 或 Linux 端无缝接入智能服务。\n\n这款工具非常适合普通用户、学生、职场人士以及需要私有化部署的企业团队使用。对于开发者而言，它也提供了便捷的自托管方案，支持一键部署到 Vercel 或 Zeabur 等平台。\n\nNextChat 的核心亮点在于其广泛的模型兼容性，原生支持 Claude、DeepSeek、GPT-4 及 Gemini Pro 等主流大模型，让用户在一个界面即可自由切换不同 AI 能力。此外，它还率先支持 MCP（Model Context Protocol）协议，增强了上下文处理能力。针对企业用户，NextChat 提供专业版解决方案，具备品牌定制、细粒度权限控制、内部知识库整合及安全审计等功能，满足公司对数据隐私和个性化管理的高标准要求。",87618,"2026-04-05T07:20:52",[45,91],{"id":109,"name":110,"github_repo":111,"description_zh":112,"stars":113,"difficulty_score":32,"last_commit_at":114,"category_tags":115,"status":69},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。",84991,"2026-04-05T10:45:23",[44,116,117,118,46,119,91,45,120],"数据工具","视频","插件","其他","音频",{"id":122,"name":123,"github_repo":124,"description_zh":125,"stars":126,"difficulty_score":68,"last_commit_at":127,"category_tags":128,"status":69},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,"2026-04-04T04:44:48",[46,44,45,91,119]]