LLM Rerankers for RAG: A Practical Guide
fin.ai·11h·
Discuss: Hacker News
🔍Information Retrieval
“Humans and AI will coexist and they'll super power each other” - Are you ready for the AEO revolution?
techradar.com·1d
📊Feed Optimization
An Engineer’s Answer to the HR Black Hole
dev.to·8h·
Discuss: DEV
🌊Streaming Systems
LLMs as Retrieval and Recommendation Engines
medium.com·2d·
Discuss: Hacker News
🔍Information Retrieval
Lessons from using AI in Discovery
thoughtbot.com·8h
🕵️Metadata Mining
How to Train an LLM-Recommender Hybrid that Speaks English & Item IDs
eugeneyan.com·1d
🔍Information Retrieval
Creativity Benchmark: A benchmark for marketing creativity for LLM models
arxiv.org·4h
🧠Intelligence Compression
Project: Pi Stats
connortumbleson.com·6h
🕵️Domain Enumeration
Generative Engine Optimization: How to Dominate AI Search
arxiv.org·3d·
Discuss: Hacker News
📊Feed Optimization
Language Models Pack Billions of Concepts into 12,000 Dimensions
nickyoder.com·4h·
Discuss: Hacker News
🧮Kolmogorov Complexity
Companies have a lot of options for AI models to use. Ancestry says it's 'agnostic' and uses many of them.
businessinsider.com·23h
🌍Cultural Algorithms
The Rise of Semantic Entity Resolution
towardsdatascience.com·16h
📄Semantic Chunking
Spatial Transcriptomics Data Fusion via Multi-Modal Signal Disambiguation and Graph-Enhanced Integration
dev.to·1d·
Discuss: DEV
🌀Riemannian Computing
Text-to-SQL Oriented to the Process Mining Domain: A PT-EN Dataset for Query Translation
arxiv.org·4h
📋Document Grammar
AI Powered Memory Training Games – BrainFit
apps.apple.com·21h·
Discuss: Hacker News
🧠Intelligence Compression
HANRAG: Heuristic Accurate Noise-resistant Retrieval-Augmented Generation for Multi-hop Question Answering
arxiv.org·4h
📊Multi-vector RAG