datawhalechina/so-large-lm resource

Health v2 · maintenance only

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Adoption not part of the score

7605 stars · 632 forks observed · 2026-08-28

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

An open-source Chinese-language tutorial series on large language model fundamentals, based on Stanford CS324 and Hung-yi Lee's generative AI course. It covers the full LLM pipeline from data engineering and Transformer architecture to training, evaluation, safety, and ethics.

Use cases

• learn large language model fundamentals
• understand transformer architecture and attention mechanisms
• study LLM training and data engineering
• learn about MoE and retrieval-based model architectures
• find a structured LLM learning path in Chinese
• prepare for LLM research or engineering work

When to choose

• you want a free, systematic, theory-first introduction to LLMs
• you prefer Chinese-language learning materials with video companions
• you want curated links to Stanford CS324-style content

When to avoid

• you need hands-on code for deploying or fine-tuning models (use self-llm or llm-universe instead)
• you need a software library or tool rather than a tutorial
• you need English-only materials

Facets

learning-resource · maturity active

documentation llm-training machine-learning large-language-models deep-learning tutorials education llm-tutorial chinese-language open-course transformer datawhale web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="datawhalechina/so-large-lm")