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

Latest revision as of 23:36, 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:

Dado que la autoatención es invariante a permutaciones (trata la entrada como un conjunto desordenado), la información posicional debe inyectarse explícitamente. El transformer original utiliza codificaciones sinusoidales:

Revision as of 03:21, 27 April 2026 (view source) DeployBot (talk \| contribs) (Batch translate Attention Mechanisms unit 27 → es) Tag: translation		Latest revision as of 23:36, 27 April 2026 (view source) DeployBot (talk \| contribs) (Batch translate Attention Mechanisms unit 27 → es) Tag: translation
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	Dado que la autoatención es invariante a permutaciones (trata la entrada como un conjunto ~~sin orden~~), la información posicional debe inyectarse explícitamente. El ~~Transformer~~ original utiliza codificaciones sinusoidales:		Dado que la autoatención es invariante a permutaciones (trata la entrada como un conjunto desordenado), la información posicional debe inyectarse explícitamente. El {{Term\|transformer\|transformer}} original utiliza codificaciones sinusoidales: