How the Attention Mechanism Works in Transformers – Part 2 | AI Explained #machinelearning #ai

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How the Attention Mechanism Works in Transformers – Part 2 | AI Explained #machinelearning #ai

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In this second part of our series on the Attention Mechanism in Transformers, we dive deeper into how the query and key matrices interact to focus the model's attention. By computing the dot product between each query and key pair, we can determine how well each word aligns with others in the sequence. This process helps models decide which parts of the input are most relevant, refining how they attend to important information. Watch to learn how the model works behind the scenes, and how queries and keys help the model make sense of language!

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