llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Maxime Labonne's course splits LLM learning into three tracks — the fundamentals, building an LLM, and deploying one — with Colab notebooks for fine-tuning, quantisation and RLHF.
From the README
- Seeing Theory: A visual introduction to probability and statistics from Brown University.
- Immersive Linear Algebra: Another visual interpretation of linear algebra.
- Khan Academy - Linear Algebra: Great for beginners as it explains the concepts in a very intuitive way.
- Khan Academy - Calculus: An interactive course that covers all the basics of calculus.
- Khan Academy - Probability and Statistics: Delivers the material in an easy-to-understand format.
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Free · no card · unsubscribe anytimeCourse to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
llm-course has 82.1k stars on GitHub. It has been forked 9.6k times. It has been in active development since 2023. llm-course is available under the Apache-2.0 license. Its main topics are course, large-language-models, llm, machine-learning.
Read the full guideWhat is llm-course?
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Is llm-course open source?
llm-course is an open-source project. It is released under the Apache-2.0 license.
Is llm-course free?
Yes. llm-course is free and open source — you can use, modify and self-host it.
What license does llm-course use?
llm-course is available under the Apache-2.0 license.
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