Scalable In-context Ranking with Generative Models
arxiv.orgยท19h
โš–๏ธFeed Ranking
Efficient and accurate search in petabase-scale sequence repositories
nature.comยท8h
๐Ÿ”„Burrows-Wheeler
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.toยท5hยท
Discuss: DEV
โš™๏ธCompression Benchmarking
Eliminating the Precisionโ€“Latency Trade-Off in Large-Scale RAG
thenewstack.ioยท5d
๐ŸŽฏRetrieval Systems
Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4
blog.reachsumit.comยท2dยท
Discuss: Hacker News
๐Ÿง Learned Indexing
Automated Copyright Infringement Detection via Semantic Fingerprinting and Dynamic Thresholding
dev.toยท1hยท
Discuss: DEV
๐Ÿ‘๏ธPerceptual Hashing
ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
arxiv.orgยท19h
๐Ÿง Machine Learning
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.toยท1hยท
Discuss: DEV
๐Ÿฆ€Rust Macros
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.toยท1dยท
Discuss: DEV
๐Ÿ”Information Retrieval
Understanding Retrieval Augmentation for Long-Form Question Answering
arxiv.orgยท1d
๐Ÿ”Information Retrieval
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.toยท2dยท
Discuss: DEV
๐Ÿค–Grammar Induction
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.toยท13hยท
Discuss: DEV
๐ŸŒ€Brotli Internals
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.toยท1dยท
Discuss: DEV
โš™๏ธCompression Benchmarking
BLADE: Bias-Linked Adaptive DEbiasing
arxiv.orgยท1d
๐Ÿ“ŠLearned Metrics
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.toยท1dยท
Discuss: DEV
๐Ÿ—ฃ๏ธDomain-Specific Languages
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.toยท23hยท
Discuss: DEV
๐ŸŽตAudio ML
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.toยท21hยท
Discuss: DEV
๐ŸŒ€Brotli Internals
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.toยท11hยท
Discuss: DEV
๐ŸŽตAudio ML
JEPAs: Unveiling the Hidden Density Oracle Within by Arvind Sundararajan
dev.toยท7hยท
Discuss: DEV
๐Ÿง Machine Learning
Transductive and Learning-Augmented Online Regression
arxiv.orgยท1d
๐Ÿ”Information Retrieval