Beyond the Buzzwords: Making Sense of Vectors, Embeddings, and Similarity Search
pub.towardsai.net·2d
🧮Vector Databases
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Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL
clarvo.ai·4h
🧮Vector Databases
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Topographical sparse mapping: A training framework for deep learning models
👁️Computer Vision
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An introduction to program synthesis (Part II) - Automatically generating features for machine learning
🎭Program Synthesis
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Automated Figure-Text Alignment & Knowledge Extraction for Scientific Literature
🧮Embeddings
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Variational Geometric Information Bottleneck: Learning the Shape of Understanding
arxiv.org·8h
🧮Embeddings
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Hypergraph Embedding Optimization for Graph Database Query Acceleration via Differential Evolution
🕸️Graph Databases
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Understanding Support Vector Machines SVM: Origins, Working, and Real-World Applications
🧮Vector Databases
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The Infrastructure of Modern Ran king Systems, Part 2: The Data Layer - Fueling the Models with Feature and Vector Stores
shaped.ai·2d
🧮Vector Databases
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Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis
arxiv.org·8h
🧮Vector Databases
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Dense vs Sparse vs Multi-Vector Embeddings Explained: What Every AI Engineer Should Know
pub.towardsai.net·1d
🧮Embeddings
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Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
arxiv.org·8h
📱Edge AI
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Continuous Autoregressive Language Models
📱Edge AI
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Efficient Test-Time Retrieval Augmented Generation
arxiv.org·1d
🔍RAG
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Seeing Across Time and Views: Multi-Temporal Cross-View Learning for Robust Video Person Re-Identification
arxiv.org·8h
🧮Vector Databases
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.org·1d
🧮Embeddings
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