Scalable In-context Ranking with Generative Models
arxiv.org·1d
⚖️Feed Ranking
Efficient and accurate search in petabase-scale sequence repositories
nature.com·13h·
Discuss: Hacker News
🔄Burrows-Wheeler
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·11h·
Discuss: DEV
⚙️Compression Benchmarking
Doing Math with Embeddings for Better AI Ad Targeting
ethicalads.io·5h·
Discuss: Hacker News
📊Feed Optimization
Eliminating the Precision–Latency Trade-Off in Large-Scale RAG
thenewstack.io·5d
🎯Retrieval Systems
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1h·
Discuss: DEV
🌀Brotli Internals
Relational Database Distillation: From Structured Tables to Condensed Graph Data
arxiv.org·1h
📊Graph Databases
Revisiting Mixout: An Overlooked Path to Robust Finetuning
arxiv.org·1h
🧠Learned Codecs
Automated Copyright Infringement Detection via Semantic Fingerprinting and Dynamic Thresholding
dev.to·6h·
Discuss: DEV
👁️Perceptual Hashing
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·7h·
Discuss: DEV
🦀Rust Macros
MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models
arxiv.org·1h
🧠Intelligence Compression
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·2d·
Discuss: DEV
🔍Information Retrieval
Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
arxiv.org·1h
🧠Learned Indexes
Addressing the ID-Matching Challenge in Long Video Captioning
arxiv.org·1h
📐Vector Similarity
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·3h·
Discuss: DEV
🦀Rust Macros
ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
arxiv.org·1d
🧠Machine Learning
Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4
blog.reachsumit.com·2d·
Discuss: Hacker News
🧠Learned Indexing
Understanding Retrieval Augmentation for Long-Form Question Answering
arxiv.org·2d
🔍Information Retrieval
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·2d·
Discuss: DEV
🤖Grammar Induction
LogSTOP: Temporal Scores over Prediction Sequences for Matching and Retrieval
arxiv.org·1h
📊Learned Metrics