面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

当前仅显示指定条件回帖 [ 展开查看全部 ]

02-16 10:50

#

本项目是一个面向开发者的大模型手册，针对国内开发者的实际需求，主打 LLM 全方位入门实践。本项目基于吴恩达老师大模型系列课程内容，对原课程内容进行筛选、翻译、复现和调优，覆盖从 Prompt Engineering 到 RAG 开发、模型微调的全部流程，用最适合国内学习者的方式，指导国内开发者如何学习、入门 LLM 相关项目。
针对不同内容的特点，我们对共计 11 门吴恩达老师的大模型课程进行了翻译复现，并结合国内学习者的实际情况，对不同课程进行了分级和排序，初学者可以先系统学习我们的必修类课程，掌握入门 LLM 所有方向都需要掌握的基础技能和概念，再选择性地学习我们的选修类课程，在自己感兴趣的方向上不断探索和学习。
如果有你非常喜欢但我们还没有进行复现的吴恩达老师大模型课程，我们欢迎每一位开发者参考我们已有课程的格式和写法来对课程进行复现并提交 PR，在 PR 审核通过后，我们会根据课程内容将课程进行分级合并。欢迎每一位开发者的贡献！

吴恩达+OpenAI LLM CookBook 中文汉化版，非常适合零基础入门LLM大模型的教程！从零部署微调+实战应用落地（附PDF）时长1:4

天天学DeepSeek 发布于 2024-06-20 15:37
吴恩达+OpenAI LLM CookBook 中文汉化版 ...

【30本大模型书籍推荐系列（三）】LLM Cookbook（吴恩达+OpenAI联合出品），非常适合零基础入门的大模型开发手册！时长2:23

大模型开发教程发布于 2024-09-20 16:51
【30本大模型书籍推荐系列（三）】LLM Cookbook（吴恩达+OpenAI联合出品），非常适合零基础入门的大模型开发手册！【大模型书籍PDF版→见评论区】 ...

content13个子项

必修一-Prompt Engineering For Developers11个子项

2. 提示原则 Guidelines.ipynb

3. 迭代优化 Iterative.ipynb

4. 文本概括 Summarizing.ipynb

5. 推断 Inferring.ipynb

6. 文本转换 Transforming.ipynb

7. 文本扩展 Expanding.ipynb

8. 聊天机器人 Chatbot.ipynb

附1-使用ChatGLM进行学习.ipynb

必修三-LangChain for LLM Application Development11个子项

1.简介 Introduction.md

2.模型、提示和解析器 Models, Prompts and Output Parsers.ipynb

3.储存 Memory.ipynb

4.模型链 Chains.ipynb

5.基于文档的问答 Question and Answer.ipynb

6.评估 Evaluation.ipynb

7.代理 Agent.ipynb

8.总结 Conclusion.md

data3个子项

必修二-Building Systems with the ChatGPT API18个子项

1.简介 Introduction.md

10.评估（下）Evaluation-part2.ipynb

11.总结 conclusion.md

2.语言模型，提问范式与 Token Language Models, the Chat Format and Tokens.ipynb

3.评估输入-分类 Classification.ipynb

4.检查输入-监督 Moderation.ipynb

5.处理输入-思维链推理 Chain of Thought Reasoning.ipynb

6.处理输入-链式 Prompt Chaining Prompts.ipynb

7.检查结果 Check Outputs.ipynb

8.搭建一个带评估的端到端问答系统 Evaluation.ipynb

9.评估（上） Evaluation-part1.ipynb

必修四-LangChain Chat with Your Data12个子项

1.简介 Introduction.md

2.文档加载 Document Loading.ipynb

3.文档分割 Splitting.ipynb

4.向量数据库与词向量 Vectorstores and Embeddings.ipynb

5.检索 retrieval.ipynb

6.问答 Question Answering.ipynb

7.聊天 Chat.ipynb

8.总结 summary.md

docs5个子项

Notion_DB41个子项

#letstalkaboutstress 64040a0733074994976118bbe0acc7fb.md

#letstalkaboutstress 64040a0733074994976118bbe0acc7fb6个子项

Good reads e817491d84d549f886af972e0668192e.md

Intro two things you should know b5fd0c5393a9498b93396e79fe71e8bf.md

What can Blendle do 618ab89df4a647bf96e7b432af82779f.md

What can I do 09c1b13703ef42d4a889e2059c5b25fe.md

What is stress b198b685ed6a474ab14f6fafff7004b6.md

About this document and the author 76a144f94cbd4d779f0098fe25b7ec74.md

Blendle Social Code 33b085aa2d4d430185fe2bb9a63027e6.md

Blendle Social Code 33b085aa2d4d430185fe2bb9a63027e63个子项

Addressing harassment 4605ba2f211445c19ef7f0ba79b4768c.md

General disciplinary measures 99aa3536e14f4055b7563101d1ec38e1.md

Sexual harassment ad537dbaafd74442a86785d41b5df204.md

Blendle library a8ce7db8587a4ae5bf786446454bf45e.md

Blendle's Employee Handbook d331da39bd0341ed8d5ee2942fecf17a.md

Calling in sick better 9219eaa9dabc456bb1b49f2e9decbc1a.md

DNA & culture 237e15b3264d46adb866936cd13f6dd3.md

Diversity and inclusion 460f5e9759fd439bb7bccceae81c21ff.md

Feedback cycle 76db1b6873c9447780fc41d81a69441b.md

Firing d930cdc39090418ea504f297425c97d7.md

General & practical 437c608f7c4e4cfeabf76af7b831a441.md

General & practical 437c608f7c4e4cfeabf76af7b831a4411个子项

Tools and tips 3a39f08a1bf04e659a4d91e15bc5c8de.md

Getting people in (branding&sourcing) 3c64133079924ff6820b3b7631074a83.md

Goals 96276a9614204d1ea000613c432d5724.md

Highly Skilled Migrants and relocation ddf512ef9032450f9d4b2ad8a2221bea.md

Hiring 553b27f441d44be6bc98653afbe0dd61.md

Hiring 553b27f441d44be6bc98653afbe0dd613个子项

Hiring process 21b759ccebb1488bb11de2cc783fe418.md

Interviewing 9e084758ad2a4922a2cbc86a6d01b3d4.md

Opening up a new job df2ca8fd3d4e4e1ab62a0c97618141a8.md

History 73f3f1512c1949079eed545034c25739.md

Holidays b309d1e278d2418f828a0f85b733c5d1.md

How to lead at Blendle 08d66c91017c4a3c85da0601bf9fe150.md

Leading Feedback 304a48f9a954482bb434e75cc581f04b.md

Office aa9cf6e6bdfa4277932056d700608387.md

Parenthood 909ce46f34174854a7b011778689ff56.md

Party and study budget 93163720d55940beb0a1e70c7f121a96.md

Perks and benefits 2f1a58f0a86d4c4d88c178e131dde968.md

Perks and benefits 2f1a58f0a86d4c4d88c178e131dde9682个子项

Fitness subscription with discount 6d96d6b1bc3647b6a415c170e666bd57.md

Headspace Things 2f805b807f734860858677534b7c0c45.md

Personal User Guide c4cfa4e0683144aabf09ff955a5177be.md

Personal User Guide c4cfa4e0683144aabf09ff955a5177be1个子项

Alexander's personal user guide e12c70a9ad9e4450924c012213e036c5.md

Rating systems 53c7d4de5be4490f8277a30f4019c805.md

Salary talks 9878e565393348189d8816689013b4f1.md

Sickness absence 2a1d61a941c940068ecbb1e4521a90b2.md

Sickness absence 2a1d61a941c940068ecbb1e4521a90b21个子项

When is there too much stress a4f312be82cd46d8a8660be180f29fb8.md

Soft shizzle 7fa3bb0ec8114b34b18fd6143cd17171.md

The Matrix™ (job profiles) 215d09c0ccc84239ab64f7a16d7c0f7c.md

Time off holidays and national holidays dc2d206a3096412abe58e1db0ac79450.md

To Do Read in your first week 3b93655c75fc4b0db0f20d09be26ab1d.md

Travel costs and reimbursements 0fbe38e2e708470b8079e33ec39205a0.md

Your 1st month eef9b2e7b3a54d11ae0aa7d64e77e30f.md

Your check-list 6928b6412e4a4026a25bb9003661dcab.md

chroma5个子项

cs229_lectures3个子项

index4个子项

index4个子项

matplotlib3个子项

index4个子项

cs229_lectures4个子项

MachineLearning-Lecture01.pdf

MachineLearning-Lecture02.pdf

MachineLearning-Lecture03.pdf

MachineLearning-Lecture04.pdf

matplotlib3个子项

第一回：Matplotlib初相识.pdf

第三回：布局格式定方圆.pdf

第二回：艺术画笔见乾坤.pdf

youtube1个子项

选修-Advanced Prompting8个子项

1. 简介 Introduction.md

2. 思维链和自我一致性.ipynb

3. 提示优化工具.ipynb

4. 协同推理和行动 ReAct.ipynb

5. 情绪激励提示.ipynb

6. 后退式提示.ipynb

7. 程序辅助 LLM.ipynb

8. 思维骨架提示.ipynb

选修-Advanced Retrieval for AI with Chroma11个子项

1. 简介 Introduction.md

2. 基于嵌入的检索技术概述 Overview of embeddings-based retrieval.ipynb

3. 检索陷阱 Pitfalls of retrieval.ipynb

4. 查询扩展 Query Expansion.ipynb

5. 交叉编码器的重排序 Cross-encoder re-ranking.ipynb

6. 嵌入适配器 Embedding Adaptors.ipynb

7. 其他技术 Other techniques.md

data2个子项

2024年北京市政府工作报告.pdf

microsoft_annual_report_2022.pdf

images

选修-Building Generative AI Applications with Gradio10个子项

1. 简介 Introduction.md

2. 图片总结应用 Image captioning app.ipynb

3. 用一个简单的界面完成NLP任务 NLP tasks with a simple interface.ipynb

4. 图像生成应用程序 Image Generation APP.ipynb

5. 描述与生成游戏 Descirbe and Generate Game.ipynb

6. 与任意LLM交流 Chat_with_any_LLM.ipynb

7. 总结 Conclusion.md

images

选修-Building and Evaluating Advanced RAG Applications12个子项

1. 简介 Introduction.md

2.高级RAG管道 Advanced RAG Pipeline.ipynb

3.评估RAG应用的指标 RAG Traid of Metrics.ipynb

4.句子滑窗检索 Sentence window retrieval.ipynb

5.自动合并检索 Auto-merging Retrieval.ipynb

6.总结 conclusion.md

data6个子项

eBook-How-to-Build-a-Career-in-AI.pdf

人工智能.pdf

images

选修-Evaluating and Debugging Generative AI11个子项

1.简介 Introduction.md

2.测量权重和偏差 W&B.ipynb

3.通过W&B训练一个扩散模型 Training a Diffusion Model with Weights and Biases (W&B) copy.ipynb

4.评估一个扩散模型 Evaluating a Diffusion Model.ipynb

5.大语言模型评估以及用 W&B 追踪 Evaluation and Tracing.ipynb

6.微调语言模型 Finetuning a language model.ipynb

7.总结 Conclusion.md

data3个子项

weights1个子项

选修-Finetuning Large Language Models16个子项

1. 简介 Introduction.md

2. 为什么要微调 Why finetune.ipynb

3.微调的应用场景 Where Finetuning Fits In.ipynb

4. 指令微调 Instruction finetuning.ipynb

5. 数据处理 Data proparation.ipynb

6. 训练过程 Training process.ipynb

7. 评估迭代 Evaluation and iteration.ipynb

8. 入门注意事项 Consideration on getting started now.md

9. 总结 Conclusion.md

config4个子项

lamini安装使用教程.md

lamini安装使用教程.pdf

选修-Functions, Tools and Agents with LangChain10个子项

1. 简介 Introduction.md

2. OpenAI函数调用 OpenAI Function Calling.ipynb

3. LangChain表达式语言 LCEL.ipynb

4. 在 LangChain 中调用 OpenAI Function Calling.ipynb

5. 标记和提取 Tagging and Extraction.ipynb

6. 工具和路由 Tools and Routing.ipynb

7. 对话代理 Conversational agent.ipynb

8. 总结 Conclusion.md

设置OpenAI_API_KEY.ipynb

选修-Large Language Models with Semantic Search11个子项

1.简介 introduction.md

2.关键词检索 Keyword Search.ipynb

3.嵌入 Embeddings.ipynb

4.稠密搜索 Dense_Retrieval.ipynb

5.重排 Rerank.ipynb

6.生成回答 Generating_Answers.ipynb

8.总结 summary.md

images

docs11个子项

C110个子项

1. 简介 Introduction.md

2. 提示原则 Guidelines.md

3. 迭代优化 Iterative.md

4. 文本概括 Summarizing.md

5. 推断 Inferring.md

6. 文本转换 Transforming.md

7. 文本扩展 Expanding.md

8. 聊天机器人 Chatbot.md

9. 总结 Summary.md

C212个子项

1. 简介 Introduction.md

10. 评估（下）Evaluation-part2.md

11.总结 conclusion.md

2. 语言模型，提问范式与 Token Language Models, the Chat Format and Tokens.md

3. 评估输入-分类 Classification.md

4. 检查输入-监督 Moderation.md

5. 处理输入-思维链推理 Chain of Thought Reasoning.md

6. 处理输入-链式 Prompt Chaining Prompts.md

7. 检查结果 Check Outputs.md

8. 搭建一个带评估的端到端问答系统 Evaluation.md

9. 评估（上） Evaluation-part1.md

C39个子项

1. 简介 Introduction.md

2. 模型、提示和解析器 Models, Prompts and Output Parsers.md

3. 储存 Memory.md

4. 模型链 Chains.md

5. 基于文档的问答 Question and Answer.md

6. 评估 Evaluation.md

7. 代理 Agent.md

8. 总结 Conclusion.md

C49个子项

1. 简介 Introduction.md

2. 文档加载 Document Loading.md

3. 文档分割 Splitting.md

4. 向量数据库与词向量 Vectorstores and Embeddings.md

5. 检索 Retrieval.md

6. 问答 Question Answering.md

7. 聊天 Chat.md

8. 总结 Summary.md

figures5个子项

C04个子项

C14个子项

C24个子项

C31个子项

C413个子项

环境配置.md

figures63个子项

Finetuning Large Language Models6个子项

docs5个子项

C04个子项

C15个子项

C25个子项

C32个子项

C414个子项

点赞回复