{"id":23933528,"url":"https://github.com/Kevin-free/chatgpt-prompt-engineering-for-developers","last_synced_at":"2025-09-11T16:31:58.749Z","repository":{"id":161093663,"uuid":"635785526","full_name":"Kevin-free/chatgpt-prompt-engineering-for-developers","owner":"Kevin-free","description":"吴恩达《ChatGPT Prompt Engineering for Developers》课程中英版","archived":false,"fork":false,"pushed_at":"2023-07-23T06:53:00.000Z","size":13075,"stargazers_count":156,"open_issues_count":0,"forks_count":12,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-11-09T11:37:15.394Z","etag":null,"topics":["chatgpt","deep-learning","language-model","openai","prompt-engineering"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":["Building"],"sub_categories":["Prompt Engineering"],"readme":"![banner](https://img.ifree258.top/16-XMDM/161-WDXM/chatgpt-prompt-engineering-for-developers/banner-zh.png)\n\n# 《ChatGPT Prompt Engineering for Developers》中英版\n\n该项目主要用于存放吴恩达《ChatGPT Prompt Engineering for Developers》课程的 notebook 和笔记。\n\n如果您发现任何问题，或者贡献资料，欢迎向我们提交 Pull Request。\n\n本项目文件夹说明：\n\n- `images`：图片，该项目所用图片；\n- `notebooks-en`：从课程中复制至本地的英文 Notebook；\n- `notebooks-zh`：从课程中复制至本地的中文 Notebook;\n- `notes`: 笔记，包括思维导图。\n\n## 课程介绍\n\n吴恩达《ChatGPT Prompt Engineering for Developers》课程，主要内容为指导开发者如何构建 Prompt 并基于 OpenAI API 构建新的、基于 LLM 的应用，包括：\n\n\u003e 书写 Prompt 的原则;\n\u003e 文本总结（如总结用户评论）；\n\u003e 文本推断（如情感分类、主题提取）；\n\u003e 文本转换（如翻译、自动纠错）；\n\u003e 扩展（如书写邮件）;\n\n- **中文视频地址：[面向开发者的 ChatGPT 提示词工程](https://space.bilibili.com/15467823/channel/seriesdetail?sid=3247315\u0026ctype=0)**\n- **英文原版地址：[ChatGPT Prompt Engineering for Developers](https://learn.deeplearning.ai)**\n\n## 项目意义\n\nLLM 正在逐步改变人们的生活，而对于开发者，如何基于 LLM 提供的 API 快速、便捷地开发一些具备更强能力、集成 LLM 的应用，来便捷地实现一些更新颖、更实用的能力，是一个急需学习的重要能力。由吴恩达老师与 OpenAI 合作推出的 《ChatGPT Prompt Engineering for Developers》教程面向入门 LLM 的开发者，深入浅出地介绍了对于开发者，如何构造 Prompt 并基于 OpenAI 提供的 API 实现包括总结、推断、转换等多种常用功能，是入门 LLM 开发的经典教程。因此，我们将该课程翻译为中文，并复现其范例代码，支持国内中文学习者直接使用，以帮助中文学习者更好地学习 LLM 开发。\n\n## 项目受众\n\n适用于所有具备基础 Python 能力，想要入门 LLM 的开发者。\n\n## 项目亮点\n\n《ChatGPT Prompt Engineering for Developers》作为由吴恩达老师与 OpenAI 联合推出的官方教程，在可预见的未来会成为 LLM 的重要入门教程，但是目前还只支持英文版且国内访问受限，打造中文版且国内流畅访问的教程具有重要意义。\n\n## 内容大纲\n\n![xmind](https://img.ifree258.top/16-XMDM/161-WDXM/chatgpt-prompt-engineering-for-developers/Prompt-Engineering-Xmind-min.png)\n\n## 致谢\n\n**核心贡献者**\n\n- [Kevin](https://github.com/Kevin-free)\n\n**其他**\n\n1. https://github.com/datawhalechina/prompt-engineering-for-developers\n2. https://github.com/GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese\n3. https://github.com/ZhangHanDong/rustchat\n\n## 欢迎关注\n\n\u003cdiv align=center\u003e\n\u003cp\u003e扫描下方二维码关注公众号：Kevin的学堂\u003c/p\u003e\n\n![qrcode](https://img.ifree258.top/16-XMDM/161-WDXM/chatgpt-prompt-engineering-for-developers/wesub-qrcode.png)\n\n\u003c/div\u003e\n\u0026emsp;\u0026emsp;Kevin的学堂，专注于数据结构和算法，后端开发，ChatGPT\u0026AI相关知识的分享。同时也会分享工作和生活的经验，欢迎关注～ 和 Kevin 一起学习，一起更优秀！\n\n## LICENSE\n\n\u003ca rel=\"license\" href=\"http://creativecommons.org/licenses/by-nc-sa/4.0/\"\u003e\u003cimg alt=\"知识共享许可协议\" style=\"border-width:0\" src=\"https://img.shields.io/badge/license-CC%20BY--NC--SA%204.0-lightgrey\" /\u003e\u003c/a\u003e\u003cbr /\u003e本作品采用\u003ca rel=\"license\" href=\"http://creativecommons.org/licenses/by-nc-sa/4.0/\"\u003e知识共享署名-非商业性使用-相同方式共享 4.0 国际许可协议\u003c/a\u003e进行许可。\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FKevin-free%2Fchatgpt-prompt-engineering-for-developers","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FKevin-free%2Fchatgpt-prompt-engineering-for-developers","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FKevin-free%2Fchatgpt-prompt-engineering-for-developers/lists"}