dive-into-llms
📈 Star trend+482 / 3d
Summary
《动手学大模型Dive into LLMs》系列编程实践教程
📖 Highlights
The '动手学大模型' series provides free programming practice tutorials on large language models, expanding from courses at Shanghai Jiao Tong University.
- Includes micro-tuning and deployment guides.
- Covers prompt learning and chain-of-thought.
- Teaches knowledge editing methods and tools.
- Features math reasoning and model watermarking.
- Includes jailbreak attacks and steganography.
- Covers multi-modal models and GUI agents.
- Provides safety guidelines for large model agents.
🤖 AI Deep Analysis
A valuable practical resource for Chinese-speaking learners to get started with LLMs, but may not be suitable for those seeking deep theoretical knowledge or English-only content.
✅ Pros
- Comprehensive hands-on tutorials for LLMs
- Large community with 44k+ stars
- Covers practical implementation aspects
- Well-structured for beginners
⚠️ Cons
- Limited to Jupyter Notebook format
- May lack depth in theoretical foundations
- Not actively maintained (no recent updates)
🎯 Use cases
- Learning LLM fundamentals through coding
- Building practical LLM applications
- Educational resource for workshops or courses
⚖️ Comparison
Compared to similar resources like 'Hugging Face NLP Course' or 'LLM University by Cohere', this repo focuses more on hands-on coding with Chinese explanations, but may lack the breadth of official documentation or interactive platforms.
