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Gate Smashers
How GPT Thinks? Multi-Head Attention Explained Simply | Transformers & LLMs
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. 🔹 Gate Smashers Shorts: Watch quick concepts & short videos here ...
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