An LLM book translation where the hard part was the networking

What it does — A Chinese translation and adaptation of Hands-On Large Language Models, the notebook-driven book by Jay Alammar and Maarten Grootendorst. It walks chapter by chapter from tokens and embeddings through transformer internals, text classification, clustering, prompt engineering, semantic search and RAG, multimodal models, and fine-tuning (BERT, SFT). This is not a bare text swap: the code carries heavier comments, with the translator’s own commentary layered in.

The interesting bit — The real work is the plumbing, not the prose. Each chapter gets a runnable notebook hosted on a domestic GPU platform (openbayes) that works without a VPN — a real annoyance when Colab is slow or unreachable from mainland China — plus a Chinese video walkthrough on Bilibili and YouTube. The author is refreshingly upfront that English-comfortable readers should just get the original.

Key highlights

• Chapter-by-chapter coverage: tokens and embeddings, transformer internals, classification, clustering, prompt engineering, generation techniques, RAG, multimodal, embedding models, fine-tuning, SFT
• More detailed code comments, with the translator’s own interpretations added on top of the original
• VPN-free runnable containers on openbayes, with the original Colab links kept alongside
• Companion Chinese videos on Bilibili and YouTube for most chapters
• Bonus material beyond the book, such as an essay tracing traditional RAG toward agentic RAG

Caveats

• The README is dense with referral links — openbayes, AIStackDC, and the author’s own ApeRouter product ride along with the free GPU hours
• Some of the “runnable notebook” links in the chapter table point at the platform’s signup page rather than a ready container, and videos for several later chapters are still being recorded
• It is a translation with commentary, not a rewrite — the author himself says so

Verdict — Chinese-speaking developers who want the book plus videos and a network that can actually reach the notebooks should start here. If you read English comfortably, the original repo remains the canonical artifact.