loveunk/deep-learning-llm-agent-notes

A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。

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。

TheGradientPath is your hands-on guide to ML and AI, mixing bite-sized Python scripts, notebooks, and videos. Start with fundamentals, climb to cutting-edge models, and learn by reading, coding, and watching. Fork the repo and join the journey.

AI Agent 中文學習地圖 — 從零開始的結構化學習路徑，每階段有必做練習跟必修閱讀。三語對照（繁中／简中／English）。歡迎社群一起貢獻、優化內容。

小李的大模型应用开发学习路线，涵盖 RAG、Agent、面试八股与论文速读。

LLM/ML 스터디·지식공유 큐레이션 — 검증된 강의·논문·자료 링크 (by @melocream · marblo.app)

从零走向AGI之路！！！旨在深入了解通用人工智能（AGI）的发展路径，从最基础的概念起，逐步构建完整的知识体系。涵盖AI Agent、RAG、MCP、具身智能、大语言模型、多模态、数字人、AI绘画、AI视频等！！

In-depth tutorials on LLMs, RAGs and real-world AI agent applications (Personal learning hub)