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Gmelli

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Gmelli

Created page with "A Self-Attention Building Block is a Neural Network Component that enables a model to weigh the significance of different parts of an input sequence in relation to each other for generating a representation of the sequence. * <B>Context:</B> ** It can (typically) calculate attention scores based on the input sequence itself, using Query (Q), Key (K), and Value (V) vectors derived from the input. ** It can (often) be used to capture dependencies and re..."