Lordog/dive-into-llms resource

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

50262 stars · 6028 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A free series of hands-on programming tutorials (in Chinese) for getting started with large language models, derived from Shanghai Jiao Tong University course materials. It covers fine-tuning and deployment, prompting and chain-of-thought, knowledge editing, math reasoning, GUI agents, alignment, and more via Jupyter notebooks.

Use cases

• learn how to fine-tune and deploy an LLM
• get started with large language model development
• learn prompt engineering and chain-of-thought reasoning
• understand knowledge editing in language models
• build a mini R1 for math reasoning
• find a beginner LLM course with notebooks
• learn LLM alignment and safety basics

When to choose

• you want free, beginner-friendly, hands-on LLM tutorials with runnable notebooks
• you prefer Chinese-language educational material
• you are a student building course projects or starting research on LLMs

When to avoid

• you need production-ready code or a maintained library
• you require a permissively licensed codebase (no license is specified)
• you need English-only documentation

Facets

learning-resource · maturity active

llm-training prompt-engineering llm-inference rag machine-learning large-language-models tutorials artificial-intelligence education python jupyter-notebooks hands-on-tutorial chinese-language fine-tuning knowledge-editing mathematical-reasoning gui-agent model-alignment free-course

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