# LLMBook-zh/LLMBook-zh.github.io

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣

Repository: https://github.com/LLMBook-zh/LLMBook-zh.github.io
Canonical: https://ross.abutalabs.com/products/llmbook-zhgithubio
Homepage: https://llmbook-zh.github.io/
Language: Python
License Family: other
Topics: artificial-intelligence, deep-learning, deep-neural-networks, deep-reinforcement-learning, fine-tuning, language-model, large-language-models, natural-language-processing, nlp, pretrained-models
Last push: 2025-09-02T05:29:52+00:00

## Health v2 (maintenance only)
Score: 43/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 40, release rhythm 35, longevity 62
- inputs: {"age_days": 870, "days_push": 365, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4551, forks 347 (observed 2026-08-28T04:08:53.295636+00:00)

## What it is
The official website and resource hub for the Chinese textbook《大语言模型》(Large Language Models) by Zhao Xin et al. from Renmin University, providing free PDF lecture slides covering LLM fundamentals. It accompanies a published book derived from the widely-cited 'A Survey of Large Language Models'.

## Use cases
- learn large language model fundamentals in Chinese
- find lecture slides for teaching an LLM course
- understand pretraining, fine-tuning, and alignment of LLMs
- get a systematic roadmap of LLM technology
- study transformer architecture and prompt engineering
- prepare for LLM research as a beginner

## When to choose
- you are a Chinese-speaking learner wanting a systematic LLM textbook
- you teach a course and need structured slides on LLM topics
- you have deep learning basics and want a foundational LLM reference

## When to avoid
- you need runnable code or a software library
- you want an English-language textbook
- you need official PPT files without an institutional teaching license

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, nlp, machine-learning, llm-training, prompt-engineering
- domain: large-language-models, deep-learning, education, tutorials
- platform: -
- tags: chinese-language, textbook, llm-book, slides, course-materials, pretraining, fine-tuning, alignment, natural-language-processing, web-server

## Member repositories
- LLMBook-zh/LLMBook-zh.github.io (main) score 43

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:53.295636+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 2026-08-29T18:20:04.318863+00:00, confidence not recorded.
  - readme: https://github.com/LLMBook-zh/LLMBook-zh.github.io (fetched 2026-08-28T04:08:53.295636+00:00, sha 9427fd7137d6)
  - homepage: https://llmbook-zh.github.io/ (fetched 2026-08-29T09:05:44.373133+00:00, sha eaf139c7dba4)
- Data as of 2026-08-30T08:39:29.467469+00:00.
