dive-into-llms
A free, hands-on tutorial series for learning about large language models. Chapter guides and notebooks help readers explore development and research topics through code.
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Overview
This is a free, hands-on tutorial series for learning how to develop and study large language models. It addresses the gap between introductory concepts and practical experimentation through chapter guides, lecture materials, and Jupyter notebooks. Topics include fine-tuning and deployment, prompting and reasoning, knowledge editing, mathematical reasoning, watermarking, jailbreaks, steganography, multimodal models, and GUI agents. Learners can follow a topic's explanation and try its code as a starting point for coursework or research.
Key features
- Chapter guides, lecture materials, and Jupyter notebooks for practical study
- Examples on fine-tuning and deployment, prompting, and reasoning
- Topics including knowledge editing, watermarking, jailbreaks, and steganography
- Lessons on multimodal models and GUI agents
Best for
Students and independent learners who want to explore large language model topics through code. It can also serve as a starting point for coursework or research.
- Upstream
- Lordog/dive-into-llms
- Fork on GitHub
- Guo-astro/dive-into-llms
- Upstream stars
- 56k
- Category
- Learning, interviews and curated lists
- License
- No license declaredWithout a license, the author keeps all rights. Ask the upstream owner before reusing the code.
- Forked
- 2026-10-05
- Sync status
- In syncLast synced 2026-10-10
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