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AI Course Notes

这里是从 344 份 LaTeX 讲义自动生成的网页阅读站。正文直接由 .tex 渲染成网页，适合浏览、搜索和连续阅读。

课程地图

🏛 MIT 课程 (10 份)

  • 6.S191
    Introduction to Deep Learning
    10 份讲义

🇨🇳 B 站系列课程 (47 份)

  • Agentic RL
    RL for LLM (PPO→GRPO→DPO, veRL)
    20 份讲义
  • LLM Architect
    模型架构 (MoE, RoPE, VLM, K2.5)
    10 份讲义
  • Modern Agent
    LLM Agent 实战 (ReAct, RAG, Codex)
    17 份讲义

📝 技术文章笔记 (25 篇)

🏫 Stanford 课程 (142 份)

  • CS25
    Transformers United (V1-V5)
    40 份讲义
  • CS146S
    The Modern Software Developer
    10 份讲义
  • CS153
    Infra @ Scale / Frontier Systems
    11 份讲义
  • CS224N
    NLP with Deep Learning
    17 份讲义
  • CS224R
    Deep Reinforcement Learning
    19 份讲义
  • CS231N
    Deep Learning for Computer Vision
    18 份讲义
  • CS336
    Language Modeling from Scratch
    17 份讲义
  • CS336 2026
    Language Modeling from Scratch
    13 份讲义

🎤 演讲与访谈 (29 份)

🇰🇷 KAIST 课程 (15 份)

  • CS492D
    Diffusion Models and Flow Models
    15 份讲义

🐻 Berkeley 课程 (35 份)

其他

推荐阅读路线

  • 入门 LLM：CS336 → CS224R L09 → CS25 Karpathy Transformer 入门
  • 深入 Agent：Berkeley LLM Agents → Modern Agent → Agentic RL
  • 模型架构：LLM Architect → CS25 Mixtral → CS336 MoE
  • 前沿洞察：Ilya → Dario → State of AI 2026