Neurosymbolic Deep Learning Semantics
arxiv.org·5h
📱Edge AI
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Dense vs Sparse vs Multi-Vector Embeddings Explained: What Every AI Engineer Should Know
pub.towardsai.net·1d
🧮Vector Databases
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Topographical sparse mapping: A training framework for deep learning models
👁️Computer Vision
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Spatial Secrets: Unleashing Language Models with Unexpected Masking by Arvind Sundararajan
📝Parser Combinators
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Automated Figure-Text Alignment & Knowledge Extraction for Scientific Literature
🤖Transformers
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.org·1d
🧮Vector Databases
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Continuous Autoregressive Language Models
📱Edge AI
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Neural Green's Functions
arxiv.org·5h
🎯Reinforcement Learning
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Semantic search with embeddings in PHP: a hands-on guide using Neuron AI and Ollama
🧮Vector Databases
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Variational Geometric Information Bottleneck: Learning the Shape of Understanding
arxiv.org·5h
🎯Vector Search
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Hypergraph Embedding Optimization for Graph Database Query Acceleration via Differential Evolution
🕸️Graph Databases
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CoCoVa: Chain of Continuous Vision-Language Thought for Latent Space Reasoning
arxiv.org·5h
👁️Computer Vision
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Semantic search with embeddings in PHP: a hands-on guide using Neuron AI and Ollama
🎯Vector Search
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Regularization Through Reasoning: Systematic Improvements in Language Model Classification via Explanation-Enhanced Fine-Tuning
arxiv.org·5h
📱Edge AI
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Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis
arxiv.org·5h
🧮Vector Databases
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