Vector Representations, Semantic Search, Similarity, Text Encoding, Neural Networks

ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding
arxiv.org·5h
🗺️UMAP
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UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
dev.to·11h·
Discuss: DEV
🗺️UMAP
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Show HN: I built an SEO tool that uses embeddings to analyze content relevance
keywordgrid.com·13m·
Discuss: Hacker News
🗺️UMAP
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Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search
aws.amazon.com·5d·
Discuss: Hacker News
🗺️UMAP
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University of Surrey researchers mimic brain wiring to improve AI - BBC
news.google.com·21h
🗺️UMAP
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Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.com·1d·
Discuss: Substack
⛰️Gradient Descent
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Glimmer Of Evidence That AI Has Innate Self-Introspection And Can Find Meaning Within Itself
forbes.com·2h
📊Empirical Bayes
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Understanding Federated Learning: Best Practices for Implementing Privacy-Preserving AI in C# Projects
dev.to·2h·
Discuss: DEV
⛰️Gradient Descent
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Unlocking Neural Network Secrets: The Geometric Awakening by Arvind Sundararajan
dev.to·4d·
Discuss: DEV
🗺️Manifold Learning
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Spiking Neural Networks: The Future of Brain-Inspired Computing
arxiv.org·5h
⛰️Gradient Descent
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ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for LargeVision-and-Language Models
dev.to·1d·
Discuss: DEV
⛰️Gradient Descent
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Our newest model: Chandra (OCR)
datalab.to·1d·
Discuss: Hacker News
🗺️UMAP
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The Machine Learning Projects Employers Want to See
towardsdatascience.com·2d
🗺️UMAP
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Neural Networks in Coding: A Deep Dive into the AI Coding Paradigm
dev.to·2d·
Discuss: DEV
⛰️Gradient Descent
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.org·5h
📦Pseudobulk
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Generating Accurate and Detailed Captions for High-Resolution Images
arxiv.org·5h
📦Pseudobulk
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QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment Analysis
arxiv.org·5h
🗺️Manifold Learning
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What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data
arxiv.org·3d
🔥ComplexHeatmap
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TOPol: Capturing and Explaining Multidimensional Semantic Polarity Fields and Vectors
arxiv.org·4d
🗺️UMAP
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