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dive-into-llms

Developed by Lordog
Open Source Jupyter Notebook Global free

A public interest programming tutorial series for LLMs initiated by the SJTU research team. Originating from advanced NLP courses, it covers fine-tuning, prompt engineering, knowledge editing, safety alignment, multimodal models, and GUI Agents. It provides lecture notes and Jupyter scripts to help developers master the full LLM lifecycle, including localized development guides in collaboration with Huawei Ascend.

  • Full-stack Fine-tuning & Deployment
  • Prompt Engineering & CoT
  • LLM Safety & Jailbreak Attacks
  • GUI Agent Development
  • Huawei Ascend Ecosystem Support
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