# bbruceyuan/Hands-On-Large-Language-Models-CN

中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型

Repository: https://github.com/bbruceyuan/Hands-On-Large-Language-Models-CN
Canonical: https://ross.abutalabs.com/products/hands-on-large-language-models-cn
Homepage: https://yuanchaofa.com
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: hands-on-llm, llms, hands-on-transformers, hans-on-llms
Last push: 2026-07-19T05:50:02+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 93, release rhythm 35, longevity 49
- inputs: {"age_days": 691, "days_push": 45, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2838, forks 314 (observed 2026-08-28T04:07:24.637888+00:00)

## What it is
A Chinese translation of the book 'Hands-On Large Language Models' by Jay Alammar and Maarten Grootendorst, with annotated Jupyter notebooks, runnable cloud environments, and companion video lectures. It teaches large language model concepts hands-on, from transformers to applied LLM techniques.

## Use cases
- learn large language models hands-on in Chinese
- run LLM tutorial notebooks without a VPN in China
- study transformers and LLM concepts with annotated code
- find video lectures explaining LLM book chapters
- practice LLM coding exercises on free GPU notebooks

## When to choose
- you prefer Chinese-language explanations and annotated code
- you want runnable notebooks accessible from mainland China
- you learn better with accompanying video walkthroughs

## When to avoid
- you need the authoritative original text - use the English book
- you want production LLM tooling rather than educational material
- you need a maintained software library with an API

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, llm-training, nlp, data-science
- domain: large-language-models, machine-learning, deep-learning, tutorials
- platform: python, cross-platform
- tags: chinese-translation, jupyter-notebooks, hands-on-llms, transformers, book-companion, video-tutorials, natural-language-processing, gpu

## Member repositories
- bbruceyuan/Hands-On-Large-Language-Models-CN (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:24.637888+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:37:28.697033+00:00, confidence not recorded.
  - readme: https://github.com/bbruceyuan/Hands-On-Large-Language-Models-CN (fetched 2026-08-28T04:07:24.637888+00:00, sha 684379617ec4)
  - homepage: https://yuanchaofa.com (fetched 2026-08-29T09:53:03.650864+00:00, sha 1e01820a16c8)
  - site_page: https://yuanchaofa.com/about (fetched 2026-08-29T09:53:03.660688+00:00, sha 3944fa7ec79e)
- Data as of 2026-08-30T08:39:29.467469+00:00.