Enterprise AI doesn’t prove its value through pilots, it proves it through disciplined financial modeling. Here’s how ESG ...
Anyscale, founded by the creators of Ray, today announced upcoming new capabilities in Ray and the Anyscale platform designed to help teams build and deploy AI workloads at production scale. As more ...
This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...
Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive ...
Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...
Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that ...
Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...
AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% ...
Bottom line: You can build a working RAG chatbot on Azure UK South in a single day using Azure AI Foundry's guided setup. The three services you need are Azure AI Search (retrieval), Azure OpenAI ...
Abstract: This paper presents a secure question answering framework for financial compliance using a graph-based retrieval-augmented generation (Graph-RAG) model. The system constructs a multi-layer ...
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