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A GitHub repository with over 80,000 stars offers a free, comprehensive course on large language models (LLMs), covering fundamentals to deployment with runnable Colab notebooks.
斯坦福大学免费提供CME 295课程，涵盖从Transformer基础到LLM训练与应用的完整知识体系，适合生成式AI和智能体AI的学习者。
A free LLM course with roadmaps and Colab notebooks covering fundamentals, scientist, and engineer tracks, created by Maxime Labonne.
Andrew Ng has launched a new course on LLM production deployment. The free version provides access to all videos and base code. The course dives deep into LLM internals, inference optimization (such as quantization, KV Cache, Flash Attention, speculative decoding), and hardware-aware optimization. Taught by AMD's VP of Engineering, it aims to help developers transform Transformer from an academic concept into a debuggable, optimizable engineering tool.