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AI Learning

Explore the AI Learning collection. Follow each resource to its source for current documentation, requirements, and licensing.

Choose an AI resource by the subject you want to explore: classic machine learning, neural networks, generative applications, or agents. This category includes both guided curricula and practical references. Look at the course or book scope before deciding how much time to commit.

Choose a useful starting point

Start with a guided curriculum for a new subject. Use cookbooks and focused implementation material when you have a specific question. Check setup instructions and any external service requirements.

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Repository directory

15 resources

LLM Course

mlabonne

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks

AI LearningApache-2.0
84.5K

Code for the book Build a Large Language Model (From Scratch): implement a ChatGPT-like LLM in PyTorch step by step

AI LearningApache-2.0
106.9K

Made With ML

GokuMohandas

Learn how to design, develop, deploy and iterate on production-grade ML applications

49.8K