@yiyirats: For anyone looking to study large language models systematically, there’s finally a pretty good Chinese-language textbook. A Zhejiang University team has open-sourced “Foundations of Large Language Models,” which has already earned 16K+ stars on GitHub. The complete six-chapter PDF is available to download for free. The content covers everything from language model fundamentals to LLM architectures, prompt engineering, …

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open-source large-language-models chinese-textbook education prompt-engineering fine-tuning rag

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A team from Zhejiang University has open-sourced the Chinese-language textbook “Foundations of LLMs,” which has earned 16K+ stars on GitHub. The complete six-chapter PDF is available for free download, covering language model fundamentals, LLM architectures, prompt engineering, parameter-efficient fine-tuning, model editing, and RAG, with ongoing monthly updates.

If you want to study large language models systematically, there’s finally a pretty good Chinese-language textbook available. A team from Zhejiang University has open-sourced “Foundations of Large Language Models,” which has already earned 16K+ stars on GitHub. The complete six-chapter PDF is available to download for free. The content covers everything from language model fundamentals to LLM architectures, prompt engineering, parameter-efficient fine-tuning, model editing, and RAG. Each chapter also reviews relevant papers, giving you a ready-made path to explore further. One interesting touch is that each chapter uses a different animal as the backdrop for its examples, making abstract concepts more intuitive. The project is still being updated, with plans to add content on LLM inference acceleration, AI agents, and more. https://github.com/ZJU-LLMs/Foundations-of-LLMs…
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Large Model Fundamentals

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@wsl8297: Sharing an easy-to-read open-source book 'Foundations of Large Models'. From an introduction to large language models to architectural evolution, then to key technologies such as Prompt engineering, parameter-efficient fine-tuning, model editing, retrieval-augmented generation (RAG), all in one book. GitHub: https://github.com/ZJU-LLMs/…

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