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

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Understanding Semantic Search: Vector Embeddings and Similarity Search
dev.to·2d·
Discuss: DEV
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7 Advanced Feature Engineering Tricks Using LLM Embeddings
machinelearningmastery.com·21h
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ObjEmbed: Towards Universal Multimodal Object Embeddings
arxiv.org·1d
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Training Design for Text-to-Image Models: Lessons from Ablations
huggingface.co·1d
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The Index and the Vector (Dan Cohen)
newsletter.dancohen.org·12h
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The Better Lesson? Geometry and Topology in the Era of Deep Learning
bastian.rieck.me·6h·
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Deep Speaker: an End-to-End Neural Speaker Embedding System
paperium.net·1d·
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Vector Quantized Latent Concepts: A Scalable Alternative to Clustering-Based Concept Discovery
arxiv.org·8h
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## Automated Metadata Extraction and Semantic Enrichment for Rare and Specialized Textbook Collections: A Hybrid Approach Leveraging Graph Neural Networks and Active Learning
freederia.com·3h
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How AWS Vector Databases Empower Semantic Search and AI Applications
dev.to·6h·
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suzgunmirac/belief-in-the-machine: Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
github.com·2h
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Gemma 2 Models Reveal Dichotomy In Representational Straightening Within Context
quantumzeitgeist.com·2h
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A Black Box Made Less Opaque (part 2)
lesswrong.com·8h
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**Abstract:** This research proposes Hyperdimensional Aesthetic Preference Synthesis via Evolutionary Causal Mapping (HAPSCEM), a novel framework utilizing h...
freederia.com·11h
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What is Overfitting? - Overfitting in Machine Learning Explained
aws.amazon.com·9h·
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Edit Mind : AI-Powered Local Video Search & Analysis
producthunt.com·15h
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Physics 1 – Attention can’t exactly simulate uniform linear motion
kindxiaoming.github.io·1d
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How Transformers Architecture Powers Modern LLMs
blog.bytebytego.com·1d
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The Inevitability of Semantic Leakage: Why “Safe” Image Embeddings Were Never Really Safe
medium.com·1d
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Indexed Ideas - co-founder matching via semantic similarity
indexed-ideas.com·1d·
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