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The multi-head attention mechanism evolved from the self-attention mechanism, as a variant of self-attention. Its goal is to enhance the expressive power and generalization ability of the model. It achieves this by using multiple independent attention heads to compute attention weights, and then concatenating or weighted-summing their results to obtain a richer representation.

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I'm so happy you enjoyed it, Meng!

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I would be thrilled to answer any questions or thoughts you might have about the article. An article is one thing, but an article combined with thoughts, ideas, and considerations holds much more educational power!

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