SIEVE: Effective Filtered Vector Search with Collection of Indexes
arxiv.org·5h
🗂️Vector Databases
Inside PinRec - Pinterest’s Production-Ready Generative Retrieval Model
shaped.ai·1d
🗂️Vector Databases
Developing Visual Augmented Q&A System using Scalable Vision Embedding Retrieval & Late Interaction Re-ranker
arxiv.org·5h
🧮Vector Embeddings
Advancing Retrieval-Augmented Generation for Structured Enterprise and Internal Data
arxiv.org·5h
🔍Information Retrieval
MediaMind AI - Intelligent Content Discovery Platform with Algolia MCP Server
dev.to·18h·
Discuss: DEV
🧭Content Discovery
Revisiting k-Means: 3 Approaches to Make It Work Better
machinelearningmastery.com·18h
📊Vector Quantization
Over 30 AI models have been trained at 10^25 FLOP or greater
epoch.ai·18h·
Discuss: Hacker News
⚡Performance Mythology
Longer scans boost prediction and cut costs in brain-wide association studies
nature.com·18h
🧠Intelligence Compression
Rethinking Distributed Computing for the AI Era
cacm.acm.org·14h
⚡Incremental Computation
Teaching Your AI to Read: A Guide to Scraping, RAG, and Smart Data Insights
hackernoon.com·18h
📊Feed Optimization
AI Wizards at CheckThat! 2025: Enhancing Transformer-Based Embeddings with Sentiment for Subjectivity Detection in News Articles
arxiv.org·5h
🔍Information Retrieval
2025-07-16: Understanding Hallucination in Large Language Models: Challenges and Opportunities
ws-dl.blogspot.com·9h·
Discuss: ws-dl.blogspot.com
✨Effect Handlers
Google brings Gemini 2.5 Pro and Deep Search to AI Mode and adds AI phone calling to search
the-decoder.com·15h
🌀Brotli Internals
Imbalanced Regression Pipeline Recommendation
arxiv.org·5h
⚖️Feed Ranking
SmartDocs AI - Intelligent Documentation Search with Algolia MCP Server
dev.to·18h·
Discuss: DEV
🌀Brotli Internals
Show HN: Context Rot Technical Report – How Input Length Impacts LLM Performance
research.trychroma.com·2d·
Discuss: Lobsters, Hacker News
🔍Information Retrieval
Balancing Semantic Relevance and Engagement in Related Video Recommendations
arxiv.org·2d
🔍Information Retrieval
Introduction: AI Terminology
dev.to·19h·
Discuss: DEV
🤖Grammar Induction
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·1d
🧠Machine Learning
Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis
arxiv.org·5h
🧮Kolmogorov Complexity