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.
Embeddings for LLMs and cosine similarity explained
Embeddings for LLMs and cosine similarity…
Embeddings for LLMs and cosine similarity explained
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.