{"version":"1.0","type":"card","id":"2adeaf41-7512-4e24-9786-6fdf6b7842f7","url":"https://stacklist.com/card/2adeaf41-7512-4e24-9786-6fdf6b7842f7","title":"What Are Word and Sentence Embeddings?","source_url":"https://cohere.com/llmu/sentence-word-embeddings","note":"Sentence and word embeddings are the bread and butter of language models. Here is a very simple introduction to what they are.","image":{"url":"https://ucarecdn.com/9ca43428-05a1-4199-a4d5-7e2aa298e0a0/","alt":"What Are Word and Sentence Embeddings?","width":1200,"height":630},"stack":{"id":"92b322dc-d79e-4910-a4bf-f6980fed6583","title":"tech stack","url":"https://stacklist.com/stack/92b322dc-d79e-4910-a4bf-f6980fed6583"},"created_at":"2025-03-19T21:50:54.316Z","updated_at":null,"aco":{"summary":"This website is about Cohere's sentence and word embeddings technology. It explains how these embeddings translate human language into computer language by assigning numbers to words and sentences in a way that captures their relationships and meaning. The website also highlights Cohere's multilingual embedding model, which can understand text in over 100 languages. \n","tags":[],"key_entities":[],"classification":null,"language":null,"confidence":null,"provenance":null,"token_counts":{"approximate":104},"content_hash":null,"acp_version":"0.2","body_available":false,"body_tokens":0,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/2adeaf41-7512-4e24-9786-6fdf6b7842f7.json","html":"https://stacklist.com/card/2adeaf41-7512-4e24-9786-6fdf6b7842f7","md":"/api/public/card/2adeaf41-7512-4e24-9786-6fdf6b7842f7.md","stack_json":"/api/public/stack/92b322dc-d79e-4910-a4bf-f6980fed6583.json"}}