Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

A production-ready Python project demonstrating how to build a Hybrid RAG (Retrieval-Augmented Generation) Agent using Azure AI Foundry Agents. This project serves as: A technical reference for ...

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

This repository contains the official implementation of our uncertainty-aware multimodal RAG framework for cleft lip and palate (CL/P) assessment. The system combines: . ├── README.md # This file ├── ...