calls Foundations-of-LLMs “Choose this when you want a focused book on LLMs rather than general ML course notes.”
吴恩达老师的机器学习课程个人笔记
LLM education / textbook
An open-source Chinese book teaching about large language model foundations, covering language model basics, LLM architecture, prompt engineering, parameter-efficient fine-tuning, model editing, and RAG.
Foundations-of-LLMs has been through the pipeline, and the crawl found nothing that substitutes for it. Re-running would repeat the same search.
What is known so far comes from the other direction:
These projects were analysed and named Foundations-of-LLMs among their alternatives. The relationship is not symmetric — how Foundations-of-LLMs rates them is a separate judgement, made when Foundations-of-LLMs is analysed in its own right.
calls Foundations-of-LLMs “Choose this when you want a focused book on LLMs rather than general ML course notes.”
吴恩达老师的机器学习课程个人笔记
calls Foundations-of-LLMs “choose for a focused LLM-foundations book, but it lacks D2L's general DL and hands-on notebook breadth”
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
calls Foundations-of-LLMs “Choose it when you want the mathematical and architectural foundations of LLMs instead of application engineering.”
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)