LLM book in Chinese: AI translated it, a human fixed it

What it does

This repository hosts a complete Chinese translation of the Manning book Build a Large Language Model (From Scratch). It mirrors the original chapter-for-chapter—from understanding LLMs and attention mechanisms to pre-training, fine-tuning, and LoRA—while translating every figure into Chinese. The original English e-book is also bundled for readers who prefer to cross-reference.

The interesting bit

The author didn’t just swap languages. He built a small AI assembly line—one agent drafts, another reviews, then a human edits—and openly admits the result is an interpretation, not a clone. He also pads the text with personal commentary where the original skims over details, turning the repo into a slightly opinionated study guide rather than a straight textbook.

Key highlights

• Full Chinese text and translated images for all chapters and appendices, hosted on GitHub Pages for online reading.
• Original English e-book included in the e-Book directory for side-by-side comparison.
• Translation pipeline blended AI drafting, AI review, and human editing to balance speed and accuracy.
• Author adds explanatory asides on design decisions the original book treats briefly.
• Content covers text processing, attention mechanisms, GPT implementation, pre-training, task-specific fine-tuning, instruction fine-tuning, and LoRA.

Caveats

• This is the book text, not the code. The runnable examples live in the separate official repository linked in the README.
• Readers in some regions may hit DNS-related image loading issues when browsing the hosted version.
• The author explicitly recommends English-fluent readers stick to the original, acknowledging that translation introduces interpretive distance.

Verdict

Chinese-speaking developers who want to understand LLM internals by coding one but struggle with English should start here. If you already read the original comfortably, this repo offers little beyond a WeChat QR code.