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Think Linear Algebra is a code-first, open-source educational resource that teaches linear algebra concepts using Python and Jupyter notebooks, focusing on practical applications rather than abstract theory.
This article recommends a UCLA-led online course on Reinforcement Learning for Large Language Models, covering theory, algorithms like PPO and RLHF, and practical coding exercises.
This article introduces Machine Learning Visualized, a Jupyter Book and interactive platform that implements and derives machine learning algorithms from first principles with visualizations.
A user shares their redesign of the 'AI Engineering from Scratch' website, which serves as a reference manual explaining AI concepts like transformers and backpropagation from raw mathematical implementations.
The Zhejiang University team open-sourced an easy-to-understand textbook on large models 'Foundations of Large Models', covering from architectural evolution to key technologies like RAG, accompanied by the Agent-Kernel multi-agent framework.