Applied artificial intelligence training series
Dive into LLMs is a training series that teaches the working principles of large language models practically through Jupyter Notebook files. The project concretizes model development processes by offering a wide range of coding practices, from basic concepts to advanced techniques.
Updates
- October 25, 2026: Stars 54,712 → 57,527, latest release v1 (June 12, 2025).
- September 19, 2026: Stars 52,081 → 54,712, latest release v1 (June 12, 2025).
- September 6, 2026: Stars 49,468 → 52,081, latest release v1 (June 12, 2025).
- August 17, 2026: Stars 47,047 → 49,468, latest release v1 (June 12, 2025).
What you get
- Understand the working principles of large language models
- Practical coding experience via Jupyter Notebook
- Model fine-tuning, security and agent development capability
Getting started
Visit the official GitHub page of the project and select the topic that interests you from the table under the heading '教程目录'. You can access Jupyter Notebook files by clicking the '脚本' link on the relevant line and start practical training by running these files in your own environment.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-25: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.