![GitHub stars][img_github_stars]
![GitHub forks][img_github_forks]
![GitHub watchers][img_github_watchers]
![GitHub repo size][img_github_size]
![GitHub last commit][img_github_last_commit]
**多平台同步与生态收录**
本项目不仅在 GitHub 持续迭代，也已同步入驻 [AtomGit][ref_atomgit] 开源社区（[![AtomGit Star][img_atomgit_star]][ref_atomgit]）。
同时，我们很荣幸被 [ShyPD AI Tools][ref_shypd] 收录，与众多优秀的 AI 工具共同探索前沿技术。
# 📌 动手做大模型系列
如果你在实操的过程中遇到问题，请在对应的视频下方留言。
复现遇到bug，请描述：
1. 运行环境
2. 对应的代码、日志和报错截图
💬 如果你有好玩的想法，欢迎来找我聊聊：
[![Feishu][img_feishu]][ref_feishu]
> 如果你不太了解如何提出一个好问题，请花几分钟阅读一下这个，相信我，可能并不能改变什么（不是）。
> [How-To-Ask-Questions-The-Smart-Way][ref_how_to_ask]
---
### 📑 快速导航
- [1. Agent 智能体系统](#-1-agent-智能体系统)
- [2. 大模型核心技术](#-2-大模型核心技术)
- [3. 动手加入开源](#-3-动手加入开源)
- [4. 模块知识专题系列](#-4-模块知识专题系列)
- [5. 不着调的 AI 项目](#-5-不着调的-ai-项目)
- [6. 番外篇](#-6-番外篇)
---
## 📒 1. Agent 智能体系统
> 探索 Agent 架构设计与系统落地，最新连载中...
| 序号 | 项目 | 代码文档 | 视频教程 | 时长 |
| :--- | :--- | :--- | :--- | :--- |
| 3 | 用户沙箱agent系统 | [文档][ref_agent_3_doc] | [![bilibili][img_agent_3_bili]][ref_agent_3_bili] [![youtube][img_agent_3_yt]][ref_agent_3_yt] | 18:52 |
| 2 | AI记忆与上下文 | [文档][ref_agent_2_doc] | [![bilibili][img_agent_2_bili]][ref_agent_2_bili] [![youtube][img_agent_2_yt]][ref_agent_2_yt] | 26:43 |
| 1 | Agent 服务架构设计 | [文档][ref_agent_1_doc] | [![bilibili][img_agent_1_bili]][ref_agent_1_bili] [![youtube][img_agent_1_yt]][ref_agent_1_yt] | 7:32 |
## 💡 2. 大模型核心技术
> 涵盖大模型微调、部署、RAG、工作流等核心实战。
| 序号 | 项目 | 代码文档 | 视频教程 | 时长 |
| :--- | :--- | :--- | :--- | :--- |
| 21 | fastmcp 实现mcp服务端和客户端 | [文档](#) | [![bilibili][img_llm_21_bili]][ref_llm_21_bili] [![youtube][img_llm_21_yt]][ref_llm_21_yt] | 26:01 |
| 20 | langfuse llm服务监控平台 | [文档][ref_llm_20_doc] | [![bilibili][img_llm_20_bili]][ref_llm_20_bili] [![youtube][img_llm_20_yt]][ref_llm_20_yt] | 26:15 |
| 19 | 构建高效RAG知识库 | [文档][ref_llm_19_doc] | [![bilibili][img_llm_19_bili]][ref_llm_19_bili] [![youtube][img_llm_19_yt]][ref_llm_19_yt] | 37:41 |
点击展开查看往期 1~18 期内容
| 序号 | 项目 | 代码文档 | 视频教程 | 时长 |
| :--- | :--- | :--- | :--- | :--- |
| 18 | milvus向量数据库 | [文档][ref_llm_18_doc] | [![bilibili][img_llm_18_bili]][ref_llm_18_bili] [![youtube][img_llm_18_yt]][ref_llm_18_yt] | 28:13 |
| 17 | tool-call原理及极简browser-use实现 | [文档][ref_llm_17_doc] | [![bilibili][img_llm_17_bili]][ref_llm_17_bili] [![youtube][img_llm_17_yt]][ref_llm_17_yt] | 14:47 |
| 16 | deepseek-r1模型微调和训练数据构造 | [文档][ref_llm_16_doc] | [![bilibili][img_llm_16_bili]][ref_llm_16_bili] [![youtube][img_llm_16_yt]][ref_llm_16_yt] | 14:01 |
| 15 | rpa自动化结合LLM workflow | [文档][ref_llm_15_doc] | [![bilibili][img_llm_15_bili]][ref_llm_15_bili] [![youtube][img_llm_15_yt]][ref_llm_15_yt] | 13:20 |
| 14 | dify实现Agent和LLM Workflow | [文档][ref_llm_14_doc] | [![bilibili][img_llm_14_bili]][ref_llm_14_bili] [![youtube][img_llm_14_yt]][ref_llm_14_yt] | 59:23 |
| 13 | AI算法项目开发流程及实例 | [文档][ref_llm_13_doc] | [![bilibili][img_llm_13_bili]][ref_llm_13_bili] [![youtube][img_llm_13_yt]][ref_llm_13_yt] | 34:43 |
| 12 | AI标注流程及label studio框架 | [文档][ref_llm_12_doc] | [![bilibili][img_llm_12_bili]][ref_llm_12_bili] [![youtube][img_llm_12_yt]][ref_llm_12_yt] | 20:00 |
| 11 | 大模型算法岗非技术答疑 | [文档][ref_llm_11_doc] | [![bilibili][img_llm_11_bili]][ref_llm_11_bili] [![youtube][img_llm_11_yt]][ref_llm_11_yt] | 16:00 |
| 10 | 大模型学习路径及面试 | [文档][ref_llm_10_doc] | [![bilibili][img_llm_10_bili]][ref_llm_10_bili] [![youtube][img_llm_10_yt]][ref_llm_10_yt] | 25:01 |
| 9 | function-calling 自动发邮件 | [文档][ref_llm_09_doc] | [![bilibili][img_llm_09_bili]][ref_llm_09_bili] [![youtube][img_llm_09_yt]][ref_llm_09_yt] | 23:10 |
| 8 | mkdocs+readthedocs部署项目文档 | [文档][ref_llm_08_doc] | [![bilibili][img_llm_08_bili]][ref_llm_08_bili] [![youtube][img_llm_08_yt]][ref_llm_08_yt] | 11:25 |
| 7 | graph-rag本地部署 | [文档][ref_llm_07_doc] | [![bilibili][img_llm_07_bili]][ref_llm_07_bili] [![youtube][img_llm_07_yt]][ref_llm_07_yt] | 23:23 |
| 6 | llama-index实现RAG | [文档][ref_llm_06_doc] | [![bilibili][img_llm_06_bili]][ref_llm_06_bili] [![youtube][img_llm_06_yt]][ref_llm_06_yt] | 21:48 |
| 5 | vllm部署工具及paged attention | [文档][ref_llm_05_doc] | [![bilibili][img_llm_05_bili]][ref_llm_05_bili] [![youtube][img_llm_05_yt]][ref_llm_05_yt] | 40:28 |
| 4 | ollama大模型部署工具介绍 | [文档][ref_llm_04_doc] | [![bilibili][img_llm_04_bili]][ref_llm_04_bili] [![youtube][img_llm_04_yt]][ref_llm_04_yt] | 21:28 |
| 3 | llama.cpp进行轻量化部署和量化 | [文档][ref_llm_03_doc] | [![bilibili][img_llm_03_bili]][ref_llm_03_bili] [![youtube][img_llm_03_yt]][ref_llm_03_yt] | 46:37 |
| 2 | 训练数据整理以及微调优化建议 | [文档][ref_llm_02_doc] | [![bilibili][img_llm_02_bili]][ref_llm_02_bili] [![youtube][img_llm_02_yt]][ref_llm_02_yt] | 20:13 |
| 1 | 使用llama-factory微调llama3 | [文档][ref_llm_01_doc] | [![bilibili][img_llm_01_bili]][ref_llm_01_bili] [![youtube][img_llm_01_yt]][ref_llm_01_yt] | 35:28 |
## 🛠️ 3. 动手加入开源
> 主要讲开源项目规范的一些内容。
| 序号 | 项目 | 代码文档 | 视频教程 | 时长 |
| :--- | :--- | :--- | :--- | :--- |
| 4 | 代码测试：pytest | [文档][ref_opensource_4_doc] | [![bilibili][img_opensource_4_bili]][ref_opensource_4_bili] [![youtube][img_opensource_4_yt]][ref_opensource_4_yt] | 11:21 |
| 3 | 代码提交检查：pre-commit | [文档][ref_opensource_3_doc] | [![bilibili][img_opensource_3_bili]][ref_opensource_3_bili] [![youtube][img_opensource_3_yt]][ref_opensource_3_yt] | 11:21 |
| 2 | python工程实践 · 代码规范：ruff | [文档][ref_opensource_2_doc] | [![bilibili][img_opensource_2_bili]][ref_opensource_2_bili] [![youtube][img_opensource_2_yt]][ref_opensource_2_yt] | 21:50 |
| 1 | python工程实践 · 依赖管理：uv | [文档][ref_opensource_1_doc] | [![bilibili][img_opensource_1_bili]][ref_opensource_1_bili] [![youtube][img_opensource_1_yt]][ref_opensource_1_yt] | 24:11 |
## 📦 4. 模块知识专题系列
> 专题系列会以多个视频介绍同一个主题，分P的形式展示，即共用一个视频链接。
| 序号 | 项目 | 代码文档 | 视频教程 | 时长 |
| :--- | :--- | :--- | :--- | :--- |
| 3 | docker 容器化部署（已完结）| [文档][ref_module_3_doc] | [![bilibili][img_module_3_bili]][ref_module_3_bili] [![youtube][img_module_3_yt]][ref_module_3_yt] | 62:59 |
| 2 | gradio 使用python构建并分享AI应用（已完结） | [文档][ref_module_2_doc] | [![bilibili][img_module_2_bili]][ref_module_2_bili] [![youtube][img_module_2_yt]][ref_module_2_yt] | 70:51 |
| 1 | kaggle 大模型竞赛系列（更新至01期） | [文档][ref_module_1_doc] | [![bilibili][img_module_1_bili]][ref_module_1_bili] [![youtube][img_module_1_yt]][ref_module_1_yt] | 25:41 |
## 🚀 5. 不着调的 AI 项目
> 将一些脑洞大开的点子落地成 AI 项目的不着调专题。
| 序号 | 项目 | 代码文档 | 视频教程 | 时长 |
| :--- | :--- | :--- | :--- | :--- |
| 3 | 猎空: LLM+微信自动化资讯机器人 | [tracer][ref_project_3_doc] | [![bilibili][img_project_3_bili]][ref_project_3_bili] [![youtube][img_project_3_yt]][ref_project_3_yt] | 15:11 |
| 2 | 听舒: 换声引擎-用作者的声音读自传 | [tingshu][ref_project_2_doc] | [![bilibili][img_project_2_bili]][ref_project_2_bili] [![youtube][img_project_2_yt]][ref_project_2_yt] | 4:16 |
| 1 | D.Va: 基于deepseek优化的端到端多人播客工具 | [d.va][ref_project_1_doc] | [![bilibili][img_project_1_bili]][ref_project_1_bili] [![youtube][img_project_1_yt]][ref_project_1_yt] | 13:42 |
## 🎈 6. 番外篇
> 懒得分类的技术合集。
| 序号 | 项目 | 代码文档 | 视频教程 | 时长 |
| :--- | :--- | :--- | :--- | :--- |
| 1 | B站实现动态转发抽奖 | [文档][ref_extra_1_doc] | [![bilibili][img_extra_1_bili]][ref_extra_1_bili] [![youtube][img_extra_1_yt]][ref_extra_1_yt] | 4:40 |
---
[img_github_stars]: https://img.shields.io/github/stars/echonoshy/cgft-llm?style=flat-square
[img_github_forks]: https://img.shields.io/github/forks/echonoshy/cgft-llm?style=flat-square
[img_github_watchers]: https://img.shields.io/github/watchers/echonoshy/cgft-llm?style=flat-square
[img_github_size]: https://img.shields.io/github/repo-size/echonoshy/cgft-llm?style=flat-square
[img_github_last_commit]: https://img.shields.io/github/last-commit/echonoshy/cgft-llm?style=flat-square&color=red
[img_atomgit_star]: https://atomgit.com/echonoshy/cgft-llm/star/badge.svg
[ref_atomgit]: https://atomgit.com/echonoshy/cgft-llm
[ref_shypd]: https://shypd.ai/tools/cgft-llm
[img_feishu]: https://img.shields.io/badge/%E9%A3%9E%E4%B9%A6-%E9%AD%94%E7%8E%8B%E5%A4%A7%E4%BA%BA%E7%94%B3%E8%AF%B7%E6%B7%BB%E5%8A%A0%E4%BD%A0%E4%B8%BA%E8%81%94%E7%B3%BB%E4%BA%BA-00D6B9?style=flat-square
[ref_feishu]: https://www.feishu.cn/invitation/page/add_contact/?token=7c0pc01a-60b9-4c7e-bcc4-ed5a2cab4625
[ref_how_to_ask]: https://github.com/ryanhanwu/How-To-Ask-Questions-The-Smart-Way/blob/main/README-zh_CN.md
[img_agent_3_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1TqRvB7E31
[img_agent_3_yt]: https://img.shields.io/youtube/views/zpcU3JKKXF4?style=social
[ref_agent_3_doc]: https://echonoshy.github.io/ripple/pages/agent-system-architecture.html
[ref_agent_3_bili]: https://www.bilibili.com/video/BV1TqRvB7E31
[ref_agent_3_yt]: https://www.youtube.com/watch?v=zpcU3JKKXF4
[img_agent_2_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1HFDSBPEBq
[img_agent_2_yt]: https://img.shields.io/youtube/views/_NBTg4G2WO4?style=social
[ref_agent_2_doc]: https://htmlpreview.github.io/?https://github.com/echonoshy/cgft-llm/blob/master/01-agent-sys/memory-context/memory.html
[ref_agent_2_bili]: https://www.bilibili.com/video/BV1HFDSBPEBq
[ref_agent_2_yt]: https://youtu.be/_NBTg4G2WO4
[img_agent_1_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1A8DeBbE5f
[img_agent_1_yt]: https://img.shields.io/youtube/views/WkAFAzAKM1s?style=social
[ref_agent_1_doc]: https://htmlpreview.github.io/?https://github.com/echonoshy/cgft-llm/blob/master/01-agent-sys/agent-service-architecture.html
[ref_agent_1_bili]: https://www.bilibili.com/video/BV1A8DeBbE5f
[ref_agent_1_yt]: https://youtu.be/WkAFAzAKM1s
[img_llm_21_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1rE1SBpEha
[img_llm_21_yt]: https://img.shields.io/youtube/views/6vY0aJITFb4?style=social
[ref_llm_21_bili]: https://www.bilibili.com/video/BV1rE1SBpEha
[ref_llm_21_yt]: https://youtu.be/6vY0aJITFb4
[img_llm_20_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1tUpDzwEr3
[img_llm_20_yt]: https://img.shields.io/youtube/views/nswdes0AlFY?style=social
[ref_llm_20_doc]: 02-llm-core/docs/langfuse.md
[ref_llm_20_bili]: https://www.bilibili.com/video/BV1tUpDzwEr3
[ref_llm_20_yt]: https://youtu.be/nswdes0AlFY
[img_llm_19_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1HTdkYeExC
[img_llm_19_yt]: https://img.shields.io/youtube/views/zI0D4BUeRcE?style=social
[ref_llm_19_doc]: 02-llm-core/rag-knowledge-base/readme.md
[ref_llm_19_bili]: https://www.bilibili.com/video/BV1HTdkYeExC
[ref_llm_19_yt]: https://youtu.be/zI0D4BUeRcE
[img_llm_18_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1T9ZhYnEWW
[img_llm_18_yt]: https://img.shields.io/youtube/views/-qGUeOJJ2eM?style=social
[ref_llm_18_doc]: 02-llm-core/milvus/readme.md
[ref_llm_18_bili]: https://www.bilibili.com/video/BV1T9ZhYnEWW
[ref_llm_18_yt]: https://youtu.be/-qGUeOJJ2eM
[img_llm_17_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1yUQhYwEJ2
[img_llm_17_yt]: https://img.shields.io/youtube/views/m9GoJVEp-1w?style=social
[ref_llm_17_doc]: 02-llm-core/tool-calls/readme.md
[ref_llm_17_bili]: https://www.bilibili.com/video/BV1yUQhYwEJ2
[ref_llm_17_yt]: https://youtu.be/m9GoJVEp-1w
[img_llm_16_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1sR9fYUE8z
[img_llm_16_yt]: https://img.shields.io/youtube/views/FNuEnwrMbas?style=social
[ref_llm_16_doc]: 02-llm-core/docs/deepseek-r1-finetune.md
[ref_llm_16_bili]: https://www.bilibili.com/video/BV1sR9fYUE8z
[ref_llm_16_yt]: https://youtu.be/FNuEnwrMbas
[img_llm_15_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1qcNUeNEXf
[img_llm_15_yt]: https://img.shields.io/youtube/views/Y7b0RVVO6QI?style=social
[ref_llm_15_doc]: 02-llm-core/docs/rpa-automation-with-llm-agent.md
[ref_llm_15_bili]: https://www.bilibili.com/video/BV1qcNUeNEXf
[ref_llm_15_yt]: https://youtu.be/Y7b0RVVO6QI
[img_llm_14_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1hacaeNEQJ
[img_llm_14_yt]: https://img.shields.io/youtube/views/zU5nHsUx5ck?style=social
[ref_llm_14_doc]: 02-llm-core/docs/dify-agent-llm-workflow.md
[ref_llm_14_bili]: https://www.bilibili.com/video/BV1hacaeNEQJ
[ref_llm_14_yt]: https://youtu.be/zU5nHsUx5ck
[img_llm_13_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1XSUpYmERX
[img_llm_13_yt]: https://img.shields.io/youtube/views/dB9t3fcuVF8?style=social
[ref_llm_13_doc]: 02-llm-core/docs/AI项目开发流程.pdf
[ref_llm_13_bili]: https://www.bilibili.com/video/BV1XSUpYmERX
[ref_llm_13_yt]: https://youtu.be/dB9t3fcuVF8
[img_llm_12_bili]: https://img.shields.io/badge/dynamic/json?label=B%E7%AB%99&style=social&logo=bilibili&query=data.stat.view&url=https%3A%2F%2Fapi.bilibili.com%2Fx%2Fweb-interface%2Fview%3Fbvid%3DBV1oRxteFEJi
[img_llm_12_yt]: https://img.shields.io/youtube/views/rTNrfq5Ay7o?style=social
[ref_llm_12_doc]: 02-llm-core/docs/label-studio.md
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[ref_llm_12_yt]: https://youtu.be/rTNrfq5Ay7o
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