934-Page Book on Building LLMs from Scratch
algo_diver · x · 2026-07-11
The author wrote a 934-page book systematically explaining how to build every layer of a Large Language Model from scratch, complete with 35 projects.
Topics covered include:
- tokenizer
- attention
- KV cache
- MoE
- RLHF
- 量化
- serving
The author mentions that many concepts in the book were unfamiliar to them just a year ago, but are now fully integrated into the practice of building TamilLM. For readers who have followed their project's evolution and want to truly understand "what happens under the hood," this book is the starting point. They also note that the book echoes their previous papers across multiple chapters.
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