Lordog/dive-into-llms
Lordog/dive-into-llms
A free hands-on LLM tutorial series derived from SJTU courses, teaching you to fine-tune, deploy, and explore large model technologies from scratch.
《动手学大模型Dive into LLMs》系列编程实践教程
AI Summary
What This Project Does
This is a hands-on tutorial series for LLM programming, turning complex theory into runnable code notebooks.
What Problems It Solves
Solves the pain points of scattered online resources, hard-to-understand theory, and code that doesn't run, saving you environment setup time.
Who It's For
CS students, developers looking to switch to AI, enthusiasts curious about LLM principles.
Typical Use Cases
For completing course assignments, self-learning model fine-tuning, researching LLM security attacks and defenses.
Key Strengths & Highlights
Derived from top university course notes, includes full slides and scripts, completely free and open source, content follows latest tech.
Getting Started Requirements
Requires basic Python knowledge, preferably a GPU environment or willingness to configure API keys for experiments.
Purpose
This project is an excellent starting point when you need to systematically learn LLM principles and write code; if you just want to use ready-made AI tools without caring about the underlying implementation, it may not suit you.
Category
Project Info
- Primary Language
- Jupyter Notebook
- Default Branch
- main
- License
- —
- Homepage
- —
- Created
- Apr 8, 2024
- Last Commit
- 7 months ago
- Last Push
- 7 months ago
- Indexed
- Apr 18, 2026