Vector Embedding Model
A vector embedding model is a neural network trained to map discrete inputs — words, sentences, images, or other objects — into dense numerical vectors such that semantic similarity between inputs corresponds to geometric proximity in the vector space. These embeddings power search, retrieval, clustering, and…
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Glossary Terms(2)
Vector Embedding Model
A vector embedding model is a neural network trained to map discrete inputs — words, sentences, images, or other objects — into dense numerical vectors such th…
SmolVLM
SmolVLM is a family of small, open-source vision-language models from Hugging Face, released starting late 2024, designed to process images and text together w…