Translations:Attention Mechanisms/27/en: Difference between revisions

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    Because self-attention is permutation-invariant (it treats the input as an unordered set), positional information must be injected explicitly. The original Transformer uses sinusoidal encodings:
    Because self-attention is permutation-invariant (it treats the input as an unordered set), positional information must be injected explicitly. The original {{Term|transformer}} uses sinusoidal encodings:

    Revision as of 19:41, 27 April 2026

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    Message definition (Attention Mechanisms)
    Because self-attention is permutation-invariant (it treats the input as an unordered set), positional information must be injected explicitly. The original {{Term|transformer}} uses sinusoidal encodings:

    Because self-attention is permutation-invariant (it treats the input as an unordered set), positional information must be injected explicitly. The original transformer uses sinusoidal encodings:

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