DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

AI Optimization Is Becoming a Core Marketing Function

As artificial intelligence reshapes discovery, visibility, and trust, a new category of marketing work is quietly ...

Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
InfoWorld

Databricks says its Instructed Retriever offers better AI answers than RAG in the enterprise

Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it ...
IEEE

Text-Scene Retrieval for Driving Scenes in Transportation Cyber-Physical Systems

Abstract: The widespread application of intelligent connected vehicles poses challenges to the security and reliability of transportation cyber-physical systems. How to retrieve high-quality samples ...
GitHub

slinusc/medical_RAG_system

The Medical RAG System is designed to enhance medical information retrieval and provide accurate answers to medical queries. It combines various retrieval methods, including BM25, bioBERT, and hybrid ...
IEEE

Text-Based Audio Retrieval by Learning From Similarities Between Audio Captions

Abstract: This letter proposes to use similarities of audio captions for estimating audio-caption relevances to be used for training text-based audio retrieval systems. Current audio-caption datasets ...