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Sentence Embeddings for Semantic Text Representation in NLP

Mapping sentences or short answers to fixed-length dense vectors (e.g. via models like MiniLM) so that semantic closeness corresponds to vector proximity, the basis for comparing free-text responses.

Sonny Text

Representing Text as Embeddings for Semantic Search — Building with the Claude API

Turn text into a dense vector whose distance encodes meaning, so a query finds passages that say the same thing in different words, and understand what cosine distance actually compares. Taught in th…