A not too technical overview of how to map arbitrary length texts to fixed length vectors and translate semantic similarity into distances in a vector space.
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Embeddings for LLMs and cosine similarity…
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A not too technical overview of how to map arbitrary length texts to fixed length vectors and translate semantic similarity into distances in a vector space.