# datawhalechina/llm-cookbook

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

Repository: https://github.com/datawhalechina/llm-cookbook
Canonical: https://ross.abutalabs.com/products/llm-cookbook
Homepage: https://datawhalechina.github.io/llm-cookbook/
Language: Jupyter Notebook
License Family: other
Topics: cookbook, llm
Last push: 2025-06-12T14:48:07+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 26, release rhythm 8, longevity 87
- inputs: {"age_days": 1223, "days_push": 447, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 24590, forks 2958 (observed 2026-08-28T04:11:37.527092+00:00)

## What it is
A Chinese-language LLM developer tutorial based on Andrew Ng's large model course series, translated and adapted by Datawhale. It covers prompt engineering, building systems with the ChatGPT API, LangChain development, RAG, and model fine-tuning through 11 graded courses with reproducible Jupyter notebooks.

## Use cases
- learn llm development from scratch in chinese
- learn prompt engineering for developers
- build a chatbot with the chatgpt api
- develop llm applications with langchain
- learn rag and model fine-tuning basics
- study andrew ng's llm courses with chinese translation

## When to choose
- you are a Chinese-speaking developer with basic Python skills wanting to enter LLM development
- you want a structured, graded curriculum from prompt engineering to RAG and fine-tuning
- you need Chinese-context prompts and examples that work without overseas access

## When to avoid
- you need official English course content or certification
- you want production-grade code rather than educational notebooks
- you require a maintained software library with a license for commercial use

## Facets
- artifact type: learning-resource
- maturity: active
- function: prompt-engineering, rag, llm-training, chatbot, machine-learning
- domain: large-language-models, tutorials, artificial-intelligence, education
- platform: python, cross-platform
- tags: llm, cookbook, chinese, andrew-ng, jupyter-notebook, openai-api, langchain, datawhale, natural-language-processing

## Member repositories
- datawhalechina/llm-cookbook (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:37.527092+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 2026-08-29T16:56:11.480020+00:00, confidence not recorded.
  - readme: https://github.com/datawhalechina/llm-cookbook (fetched 2026-08-28T04:11:37.527092+00:00, sha 7d77263173f4)
  - homepage: https://datawhalechina.github.io/llm-cookbook/ (fetched 2026-08-29T07:53:25.964055+00:00, sha 23c333bce994)
- Data as of 2026-08-30T08:39:29.467469+00:00.