📊 TF-IDF

Term Frequency, Document Ranking, Information Retrieval, Text Search

HUME: Measuring the Human-Model Performance Gap in Text Embedding Task
paperium.net·1d·
Discuss: DEV
💬Natural Language Processing
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Building a Production-Ready Enterprise AI Assistant with RAG and Security Guardrails
dev.to·9h·
Discuss: DEV
🫧Filter Bubbles
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Handbook of Satisfiability (2021)
iospress.com·1h·
Discuss: Hacker News
🔢Kolmogorov Complexity
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Semantic search with embeddings in PHP: a hands-on guide using Neuron AI and Ollama
ollama.com·15h·
Discuss: DEV
🌱Stemming
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TOPol: Capturing and Explaining Multidimensional Semantic Polarity Fields and Vectors
arxiv.org·3d
💬Natural Language Processing
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Kimi Linear: An Expressive, Efficient Attention Architecture
arxiviq.substack.com·14h·
Discuss: Substack
🔢Kolmogorov Complexity
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A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining
paperium.net·15h·
Discuss: DEV
🧭Content Discovery
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Weak-To-Strong Generalization
lesswrong.com·10h
🔢Kolmogorov Complexity
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The business of the culture war
feeds.feedblitz.com·8h
📡RSS
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Free AI Tools Like CheatEye: Make Your Own Profile Finder (2025)
github.com·9h·
Discuss: DEV
🕷️Web Scraping
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Adaptive Stemming via Graph-Augmented Recurrent Variational Autoencoders
dev.to·7h·
Discuss: DEV
🌱Stemming
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Best Digital Marketing Institute in Allahabad – Ndmit Prayagraj
ndmit.com·6h·
Discuss: Hacker News
📈Data Science
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I'm Building an AI Agent That Automates Competitor Research
drive.google.com·6h·
Discuss: DEV
🧭Content Discovery
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Feature Infrastructure Engineering: A Comprehensive Guide
mlfrontiers.substack.com·20h·
Discuss: Substack
🧭Content Discovery
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Our newest model: Chandra (OCR)
datalab.to·3h·
Discuss: Hacker News
💬Natural Language Processing
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Pangram achieves near-perfect results in AI text detection tests, study reveals
the-decoder.com·4h
✂️Tokenization
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[R] TempoPFN: Synthetic Pretraining of Linear RNNs for Zero-Shot Timeseries Forecasting
reddit.com·2h·
Discuss: r/MachineLearning
🚌GTFS-RT
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Northern Arizona's Jayson Raines sees pass until lights go out — and still makes catch
nytimes.com·14h
📡RSS
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Machine Learning Fundamentals: Everything I Wish I Knew When I Started
dev.to·6h·
Discuss: DEV
🤖Machine Learning
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Automated Scientific Literature Validation via Hyperdimensional Semantic Analysis
dev.to·1d·
Discuss: DEV
🔍Information Retrieval
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