mlabonne/
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
What it does
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Summary based on the GitHub description (opens in a new tab)
What the README covers
- 📝 Notebooks
- Tools
- Fine-tuning
- Quantization
- Other
- 🧩 LLM Fundamentals
- 1. Mathematics for Machine Learning
- 2. Python for Machine Learning
- 3. Neural Networks
- 4. Natural Language Processing (NLP)
- 🧑🔬 The LLM Scientist
- 1. The LLM Architecture
Getting started
Excerpt from the README · Checked 15 Oct 2026
Open the README and explore its “📝 Notebooks” section. Follow its linked resources for the project-specific workflow.
Shown exactly as published. Top 200 Repos has not run or tested it. View in README (opens in a new tab)
Ranking trend
Global rank in each recorded snapshot. A lower number is a higher rank.
From #196 to #198 across 2 snapshots since 15 Oct 2026.
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