Embedding Similarity, High-dimensional Indexing, Semantic Retrieval, ML Infrastructure

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The Transformer Architecture: A Deep Dive into How LLMs Actually Work
dev.to·4h·
Discuss: DEV
📝Text Parsing
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Soft Filtering: Guiding Zero-shot Composed Image Retrieval with Prescriptive and Proscriptive Constraints
arxiv.org·2d
🧮Vector Embeddings
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Natural language processing for word sense disambiguation and information extraction
arxiv.org·15h·
Discuss: r/compsci
📥Feed Aggregation
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Turning images into structured signals for modern search
visualquerypro.com·1h·
Discuss: Hacker News
🤖AI Curation
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Treating Functions as Vectors in Hilbert Space
hackaday.com·1d
📐Linear Algebra
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Climate Monitoring Search Engine: Multi-Vectors in Qdrant
pub.towardsai.net
·4d
🗂️Vector Databases
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Deep Convolutional Networks on Graph-Structured Data
paperium.net·2d·
Discuss: DEV
📊Spectral Graphs
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Running Code and Failing Models – Rajiv Shah
projects.rajivshah.com·1d
🧠Machine Learning
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Book Review: Why Machines Learn
philippdubach.com·1d·
Discuss: Hacker News
🧠Machine Learning
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Document search using Claude and an inverted index.
annanay.dev·4d·
Discuss: Hacker News
🗂️Vector Databases
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
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📊Quantization
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Deep Kronecker Network
arxiv.org·2d
🧠Machine Learning
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Why MAP and MRR Fail for Search Ranking (and What to Use Instead)
towardsdatascience.com·2d
📊Search Ranking
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Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
dev.to·20h·
Discuss: DEV
🧮Vector Embeddings
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Building a Local-First RAG Engine for AI Coding Assistants
dev.to·9h·
Discuss: DEV
🌀Brotli Internals
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3 Smart Ways to Encode Categorical Features for Machine Learning - MachineLearningMastery.com
machinelearningmastery.com·5d
🧠Machine Learning
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The 2025 Guide to Machine Learning
ibm.com·1d·
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🧠Machine Learning
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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SMART SLM: Structured Memory and Reasoning Transformer, A Small Language Model for Accurate Document Assistance
arxiv.org·2d
📋Document Grammar
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🧠Learned Compression
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