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llm-master

llm-master — 大模型(LLM)全栈学习路线与中文教程🔥:覆盖 Prompt Engineering、RAG、AI Agent、MCP、微调、模型部署、Transformer、AI…

llm-master is 大模型(LLM)全栈学习路线与中文教程🔥:覆盖 Prompt Engineering、RAG、AI Agent、MCP、微调、模型部署、Transformer、AI 编程与大厂面试,从入门到生产实践。 - youngyangyang04/llm-master. It is ranked #3112 on the AI Radar, in AI infra & evals, first seen 8 days ago and shared in 1 post (4.6k views).

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GitHub - youngyangyang04/llm-master: 大模型(LLM)全栈学习路线与中文教程🔥:覆盖 Prompt Engineering、RAG、AI Agent、MCP、微调、模型部署、Transformer、AI 编程与大厂面试,从入门到生产实践。 · GitHub Skip to content Navigation Menu Sign in Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Repository navigation llm-master Public Notifications You must be signed in to change notification settings Fork 142 ( 142 ) Star 1.5k ( 1.5k ) You must be…

What people said about llm-master on X

🧗 兄弟们,程序员转大模型的全栈路线有人铺好了,LLM-Master 从第一次调 API 一路带你做到能上线的 AI 系统。 LLM-Master 在 GitHub 上 1400 多 star,150 多篇中文教程,资料来自卡码笔记的大模型专栏。 想转 AI 的程序员,最常见的卡点是不知道先学什么:今天看 Transformer,明天跟着教程搭 RAG,学了一堆,简历上还是写不出一个像样的项目。 LLM-Master 按知识依赖排好了顺序:基础认知、应用开发、RAG、Agent、微调与部署,再回头啃 Transformer,最后是项目和面试。六个阶段,每段都有入口和完成标志,随时知道自己学到哪了。…

— @Ryrenz, 8 days ago · 117 likes · see the post

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FAQ

What is llm-master?

大模型(LLM)全栈学习路线与中文教程🔥:覆盖 Prompt Engineering、RAG、AI Agent、MCP、微调、模型部署、Transformer、AI 编程与大厂面试,从入门到生产实践。 - youngyangyang04/llm-master It was first shared on X 8 days ago and is ranked #3112 on the AI Radar.

Is llm-master free?

It is open source.

Who shared llm-master?

1 account on X, including @Ryrenz, in 1 post totalling 4.6k views.

Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.3k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 17:44 UTC. Full method.