What Does This Mean?
A numerical representation of a word, sentence, image or other item as a vector, learned so that items with similar meanings sit close together; the basis of semantic search and many AI systems.
EXPLAINER
Analytics Vidhya · original source ↗
EXPLAINER
LearnThatStack · original source ↗
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REAL-WORLD EXAMPLE
""The search tool ranks documents by how close their embeddings are to the query.""
LORE & ORIGIN
Wikipedia traces word embeddings to 1957 linguistics ideas and 2000 neural language models, with Google's word2vec in 2013 driving wide adoption and contextual embeddings such as ELMo and BERT following in the late 2010s.
MENTIONS OVER TIME
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RELATED SEARCHES
TOP PLATFORMS
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