A visual exploration of the attention mechanism in transformers. Grant Sanderson explains how self-attention allows models to weigh the relevance of different input components, how multi-head attention enables parallel processing, and why this architecture has become the foundation of modern language models. The video uses animations to make complex mathematical concepts intuitive.

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