Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4
blog.reachsumit.com·13h·
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🧠Learned Indexing
**Unlocking the Power of Personalization: How Netflix's AI D
dev.to·4h·
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📊Feed Optimization
Thinking About Social Media
kevquirk.com·13h
⚖️Feed Ranking
In Praise of RSS and Controlled Feeds of Information
blog.burkert.me·3d·
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📡RSS Readers
DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning
arxiv.org·17h
🎯Content Recommendation
AI Vector Database: Transforming Search with Smarter Vector Database Solutions
future.forem.com·8h·
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🗂️Vector Databases
Algorithm Showdown: Logistic Regression vs. Random Forest vs. XGBoost on Imbalanced Data
machinelearningmastery.com·3d
🧠Machine Learning
Creating a Live Budget App on a Budget
ai.darefail.com·5h·
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🚀Indie Hacking
LLM Optimization Notes: Memory, Compute and Inference Techniques
gaurigupta19.github.io·5h·
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💻Local LLMs
Automated Content Marketing at Spotify
engineering.atspotify.com·14h·
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📊Feed Optimization
Learning to Route: A Rule-Driven Agent Framework for Hybrid-Source Retrieval-Augmented Generation
arxiv.org·17h
🔍Information Retrieval
Why I Don’t Want AI to Do My Chores
thealgorithmicbridge.com·4h
🤖AI Curation
Unlock Peak Model Performance: MINERVA's Surprisingly Simple Feature Selection by Arvind Sundararajan
dev.to·11h·
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🧠Machine Learning
How To Build Effective Technical Guardrails for AI Applications
towardsdatascience.com·3h
🔗Constraint Handling
A Computational Framework for Interpretable Text-Based Personality Assessment from Social Media
arxiv.org·17h
⚖️Feed Ranking
A Global Mining Dataset
tech.marksblogg.com·10h·
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📦METS Containers
Eliminating the Precision–Latency Trade-Off in Large-Scale RAG
thenewstack.io·3d
🎯Retrieval Systems
Show HN: I Started the New SEO
spore-ten.vercel.app·1d·
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📊Feed Optimization