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by recomoonmoon · Agent Tool · ★ 189
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学习路线笔记：从 PyTorch 到大语言模型 这是一个程序员学习 LLM（Large Language Models） 的学习记录与路线图。每一个章节内都有对应的篇章的笔记，对从0开始的同学友好，也适合有基础的程序员挑着看。 本人目前参与横向项目，每天上班，暂时减少更新，后续有空还会不断推进项目进度。 学习路线 PyTorch 基础 学习资料： PyTorch 中文文档速通 B站 PyTorch 视频教程 阶段目标： 掌握 PyTorch 常用模块与基本理论，能够独立实现经典 CNN 模型 ResNet。 成果： 代码与文档（ResNet） Transformer 基础 学习重点： 理解 Transformer 架构：位置编码、多头注意力、残差连接、LayerNorm 等 掌握 Encoder-Decoder 整体流程 阶段目标： 能够独立复现 Transformer 架构模型。 成果： 代码与文档（Transformer） langchain基础 教程： 大模型基础视频教程 学习langchain的核心概念： Prompt Engineer Parser数据解析 Runnable(langchain)可运行对象 messages信息管理 tools工具设计与调用 memory记忆管理 多模态数据 LCEL 文档加载器 文档切片器 embedding模型 检索器和rag 成果： [代码与文档](https://github.com/recomoonmoon/LLMle
| Stars | 189 |
| Forks | 21 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 49.3127742163635/100 |
| Last Updated | 2025-10-23 |
| Created | 2025-09-04 |
| Platforms | python |
| Est. Tokens | ~66k |
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LLM_book is 非常详细的大模型LLM的学习教程与笔记. It is categorized as a Agent Tool with 189 GitHub stars.
LLM_book is primarily written in Python. It covers topics such as langchain, llm, llm-agent.
You can find installation instructions and usage details in the LLM_book GitHub repository at github.com/recomoonmoon/LLM_book. The project has 189 stars and 21 forks, indicating an active community.
The top alternatives to LLM_book on Agent Skills Hub include agent-craft, palico-ai, edsl. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.