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Salesforce introduces Enterprise AI Harness, AI Control Plane51m ago The Race for the Next Big Weight-Loss Drug Is On—and China Wants In1h ago How Social Media Platforms Are Identifying AI Content1h ago DeepSeek launches V4.1-Flash and retires V4-Pro, its flagship model1h ago OpenAI Wants to Know if an AI Industry Slowdown Would Even Be Legal2h ago Oracle Posts Cloud Sales That Top Estimates on AI Demand2h ago iPhone 18 Pro Max vs Samsung Galaxy S26 Ultra: How these XL phones compete2h ago AWS open-sources Pizza Bot: email-style inbox for background AI agents2h ago ToolGrad: Efficient tool-use dataset generation with textual "gradients"2h ago CA governor signs 'landmark' laws on youth use of social media and AI chatbots2h ago OpenAI pulls out of Caltech math hackathon after mathematicians issue open letter criticizing AI math 'slop'2h ago OpenAI spent millions to solve this famous math problem — mathematicians are furious3h ago OpenAI asks Congress for mandatory national AI safety rules before it adjourns3h ago Anthropic Details Disrupted Claude Misuse Across Seven Harm Areas3h ago

Machine Learning Dev Computer Vision40 min reading time

Multi-Vector (Late Interaction) Embedding Models with Sentence Transformers

Hugging FacePublished 24 days ago

Sentence Transformers v6.0 introduces MultiVectorEncoder, enabling ColBERT-style late interaction retrieval with token-level embeddings. This approach improves retrieval accuracy by scoring queries against documents using MaxSim, supporting text, visual, audio, and video retrieval.

#colbert #embedding-models #information-retrieval #semantic-search #sentence-transformers

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