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GitHub Open Source 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。

943
Traction Score
93
Forks
Sep 12, 2026
Launch Date
View Origin Link

Product Positioning & Context

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。
agent large-language-models llm llm-learning llm-tutorial rag

Related Ecosystem & Alternatives

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Deep-Dive FAQs

What is youngyangyang04/llm-master?
youngyangyang04/llm-master is a digital product or tool described as: 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。
Where did youngyangyang04/llm-master originate?
Data for youngyangyang04/llm-master was aggregated directly from the GitHub Open Source community ecosystem, representing raw developer and early-adopter sentiment.
When was youngyangyang04/llm-master publicly launched?
The initial public indexing or launch date for youngyangyang04/llm-master within our tracked developer communities was recorded on September 12, 2026.
How popular is youngyangyang04/llm-master?
youngyangyang04/llm-master has achieved measurable traction, logging over 943 traction score and facilitating 93 recorded discussions or engagements.
Which technical categories define youngyangyang04/llm-master?
Based on metadata extraction, youngyangyang04/llm-master is categorized under topics such as: agent, large-language-models, llm, llm-learning.
Are there active development issues for youngyangyang04/llm-master?
Yes, we are currently tracking open architectural debates and bug reports for this project on GitHub. There are currently 2 active high-priority issues logged recently.
How does the creator describe youngyangyang04/llm-master?
The original author or development team describes the product as follows: "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。"

Active Developer Issues (GitHub)

open 两处数值勘误:级联成本对比与 O(n²) 注意力计算量
Logged: Sep 16, 2026
open 乌克兰语翻译版本 llm-master-ua(MIT,已保留原作者版权)
Logged: Sep 16, 2026

Community Voice & Feedback

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Discovery Source

GitHub Open Source GitHub Open Source

Aggregated via automated community intelligence tracking.

Tech Stack Dependencies

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Media Tractions & Mentions

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Deep Research & Science

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