LLM_book — Agent Tool by recomoonmoon

by recomoonmoon · Agent Tool · ★ 178

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About LLM_book

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

langchainllmllm-agentpythonragtutorialtutorial-exercises

Quick Facts

Stars178
Forks18
LanguagePython
CategoryAgent Tool
Quality Score49.3127742163635/100
Last Updated2025-10-23
Created2025-09-04
Platformspython
Est. Tokens~66k

Compatible Skills

These tools work well together with LLM_book for enhanced workflows:

  • ai-agents-from-zero — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • lets-learn-mcp-python — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (55%)
  • FlashLearn — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • SecGPT — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • AgentChat — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

LLM_book alternative? Top 6 similar tools

Looking for a LLM_book alternative? If you're comparing LLM_book with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • palico-ai by palico-ai · ⭐ 342

    Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework

  • agent-craft by Annyfee · ⭐ 124

    AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体

  • edsl by expectedparrot · ⭐ 472

    Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market

  • c4-genai-suite by codecentric · ⭐ 171

    c4 GenAI Suite

  • DeepMCPAgent by cryxnet · ⭐ 806

    Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.

  • vllora by vllora · ⭐ 790

    Debug your AI agents

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Frequently Asked Questions

What is LLM_book?

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 178 GitHub stars.

What programming language is LLM_book written in?

LLM_book is primarily written in Python. It covers topics such as langchain, llm, llm-agent.

How do I install or use LLM_book?

You can find installation instructions and usage details in the LLM_book GitHub repository at github.com/recomoonmoon/LLM_book. The project has 178 stars and 18 forks, indicating an active community.

What are the best alternatives to LLM_book?

The top alternatives to LLM_book on Agent Skills Hub include palico-ai, agent-craft, edsl. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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