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Vocabulary of natural language processing (POC)

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Concept information

... > NLP methods and tools > artificial intelligence > machine learning > machine learning model > neural networks model > neuron > layer > attention mechanism > multi-head attention

Terme préférentiel

multi-head attention  

Définition

  • An attention mechanism used in NLP tasks such as machine translation and summarization that involves dividing the input sequence into multiple heads and combining their outputs to produce a single output, allowing the attention mechanism to focus on different aspects and relationships in the input sequence. (Multi Head Attention, on medium.com, 2023)

Concept générique

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URI

http://data.loterre.fr/ark:/67375/8LP-G68PZTML-J

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RDF/XML TURTLE JSON-LD Dernière modification le 21/05/2024