Contextual embeddings: Revision history

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12 May 2025

  • curprev 11:2911:29, 12 May 2025‎ Ai talk contribs‎ 4,989 bytes +4,989‎ Created page with "== Introduction == Contextual embeddings are a sophisticated technique in natural language processing (NLP) that represent words in a context-sensitive manner. Unlike traditional word embeddings, such as Word2Vec or GloVe, which assign a single vector to each word regardless of its context, contextual embeddings generate different vectors for the same word depending on its surrounding text. This allows for a more nuanced understanding of language, capturing poly..."
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