Dense vs Sparse vs Multi-Vector Embeddings Explained: What Every AI Engineer Should Know
pub.towardsai.net·2d
🔢Embeddings
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We're Counting Birbs Today
counting-stuff.com·18h·
Discuss: Hacker News
🦆DuckDB
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Scientists Use AI To Explain The Secret Superpower Of Super-Recognizers
studyfinds.org·23h
📦Pseudobulk
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Moving AI Workloads To The Edge
semiengineering.com·6h
🔲Zarr
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Embedding Atlas: Low-Friction, Interactive Embedding Visualization
machinelearning.apple.com·3d
🗺️UMAP
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Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models
arxiv.org·2d
🔗Markov Chains
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AI and Neuromarketing: Understanding the Brain Behind Consumer Decisions
dev.to·3d·
Discuss: DEV
🗺️UMAP
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Diffusive hydrodynamics from long-range correlations
arxiv.org·2d
📊Differential Expression
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SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning
arxiv.org·1d
⛰️Gradient Descent
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Automated Variant Calling Refinement via Multi-Modal Neuro-Symbolic Integration (AMVR-MNSI)
dev.to·1d·
Discuss: DEV
🧬Genomics
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Large Language Models as Information Sources: Distinctive Characteristics and Types of Low-Quality Information
arxiv.org·9h
🔢Embeddings
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Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales
arxiv.org·2d
📊Empirical Bayes
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Generative human motion mimicking through feature extraction in denoising diffusion settings
arxiv.org·2d
🗺️UMAP
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ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding
arxiv.org·3d
🗺️UMAP
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Periodic Skill Discovery
arxiv.org·9h
🔢Embeddings
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Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
machinelearning.apple.com·2d
📦Pseudobulk
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Learning Without Critics? Revisiting GRPO in Classical Reinforcement Learning Environments
arxiv.org·9h
⛰️Gradient Descent
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