Uploaded June 2026 | Updated September 2026, 2 weeks ago

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Multi-head Attention is an important concept used in Transformer models, NLP, and modern deep learning architectures. This lecture explains why attention is needed, how multi-head attention works, and how it helps a model focus on different parts of the input at the same time.

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