#10 · Primary category： Education & Research
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Project last updated：02/05/26
GitHub Stars
82.1K
Forks
9.6K
Contributors
3
License
Apache-2.0
Why we included this project
The llm-course is a free, three-part curriculum that starts with an optional primer on the math and Python you'll need, plus how neural networks work, then moves into building and fine-tuning models with techniques like QLoRA, DPO, and ORPO, and finally covers turning those models into deployed applications. The real draw is the collection of ready-to-run Colab notebooks that walk through concrete workflows: fine-tuning Llama 3, quantizing models to GGUF and GPTQ, and merging models with MergeKit. Developers and small teams can follow these reproducible steps and adapt them to their own projects. The repo also links to the author's blog and the companion LLM Engineer's Handbook for deeper dives.
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