Large language models educational roadmap
mlabonne/llm-course is a comprehensive educational resource containing roadmaps and Colab notebooks for those looking to enter the field of large language models (LLMs). This project offers a curriculum that guides learners from foundational to advanced levels of AI models.
What you get
- Understanding the architecture of language models starting from foundational mathematics and artificial neural networks
- Optimizing open-source models through fine-tuning and quantization
- Running experiments directly without installation via pre-configured Google Colab cloud notebooks
Getting started
You do not need to install software on your computer to use this project. You can explore the topics on the GitHub repository or the DeepWiki documentation page and click on the Google Colab link of the section that interests you to run the exercises directly in your browser.
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 2026-10-19: 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.