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3 Feature Engineering Techniques for Unstructured Text Data
machinelearningmastery.com·2d
📝Text Embeddings
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Simple Yet Effective Selective Imputation for Incomplete Multi-view Clustering
arxiv.org·2d
🌊Spectral Clustering
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RAG is more than Vector Search
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
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RAG Isn't a Vector Search Problem
softwaredoug.com·4d·
Discuss: Hacker News
🗂️Vector Search
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DeArrow: Crowdsourcing Better YouTube Titles and Thumbnails
dev.to·7h·
Discuss: DEV
🔃Feed Algorithms
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Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit
arxiv.org·2d
📝Text Embeddings
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Topology Identification and Inference over Graphs
arxiv.org·2d
🕳️Persistent Homology
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How I Built a RAG System That Actually Understands Business Metrics (Part 1: Foundation)
dev.to·7h·
Discuss: DEV
📊Learned Metrics
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Point to Span: Zero-Shot Moment Retrieval for Navigating Unseen Hour-Long Videos
arxiv.org·2d
🗂️Vector Search
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Semantic Reconstruction of Adversarial Plagiarism: A Context-Aware Framework for Detecting and Restoring "Tortured Phrases" in Scientific Literature
arxiv.org·2d
🔍BitFunnel
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Processing Getting to Processing
cogdogblog.com·3d
📰RSS Archaeology
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AI ALPHABITZ and AXI.
dev.to·11h·
Discuss: DEV
⚡Proof Automation
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Leveraging Machine Learning and Large Language Models for Automated Image Clustering and Description in Legal Discovery
arxiv.org·4d
📚Document Clustering
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Spectral Community Detection in Clinical Knowledge Graphs
towardsdatascience.com·2d
🕸️Neo4j
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THE-Pose: Topological Prior with Hybrid Graph Fusion for Estimating Category-Level 6D Object Pose
arxiv.org·2d
📐Projective Geometry
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Regression Is All You Need
blog.tilderesearch.com·3d·
Discuss: Hacker News
🧠Machine Learning
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LLM-Powered Relevance Assessment for Pinterest Search
medium.com·4d
🔍Information Retrieval
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An Intro to Large Language Models and the Transformer Architecture: Talking to a calculator
dev.to·13h·
Discuss: DEV
💻Local LLMs
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Federated Domain Generalization with Latent Space Inversion
arxiv.org·2d
🧠Machine Learning
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Solving Semi-Supervised Few-Shot Learning from an Auto-Annotation Perspective
arxiv.org·2d
📊Learned Metrics
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