Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.org·15h
🤖Machine Learning
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Beyond the Buzzwords: Making Sense of Vectors, Embeddings, and Similarity Search
pub.towardsai.net·1d
🤖Machine Learning
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Semantic search with embeddings in JavaScript: a hands-on example using LangChain and Ollama
💬Natural Language Processing
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UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
🤖Machine Learning
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Novel idea in vector search: Wormhole vectors
dmitry-kan.medium.com·19h
♟️Alpha-Beta Pruning
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
💬Natural Language Processing
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Vision = Language: I Decoded VLM Tokens to See What AI 'Sees' 🔬
💬Natural Language Processing
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Dense vs Sparse vs Multi-Vector Embeddings Explained: What Every AI Engineer Should Know
pub.towardsai.net·15h
🤖Machine Learning
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Semantic search with embeddings in PHP: a hands-on guide using Neuron AI and Ollama
💬Natural Language Processing
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Ranking LLMs based on 180k French votes (French government's AI arena)
💬Natural Language Processing
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Spatial Sense: Unleashing Language Models on Location Data by Arvind Sundararajan
💬Natural Language Processing
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Mitigating Semantic Collapse in Partially Relevant Video Retrieval
arxiv.org·1d
💬Natural Language Processing
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From searching to solving: how Vector Databases transform product discovery
💬Natural Language Processing
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Efficient Test-Time Retrieval Augmented Generation
arxiv.org·15h
💬Natural Language Processing
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Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
arxiv.org·15h
🤖Machine Learning
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Embedding Atlas: Low-Friction, Interactive Embedding Visualization
machinelearning.apple.com·1d
🌲B-Trees
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Social and UGC: The trust engines powering search everywhere
searchengineland.com·6h
🌲B-Trees
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Beyond Standard LLMs
🤖Machine Learning
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