Conversational AI doesn’t understand users — 'Intent First' architecture does

The sooner an organization realizes this as an architectural imperative, the sooner they will be able to capture the ...
SiliconANGLE

RapidFire AI applies parallelization to speeding RAG workflows

Startup RapidFire AI Inc. today released an open-source software package aimed at simplifying the development of the pipelines that are increasingly central to enterprise artificial intelligence ...
ZDNet

RAG can make AI models riskier and less reliable, new research shows

Retrieval-Augmented Generation (RAG) is rapidly emerging as a robust framework for organizations seeking to harness the full power of generative AI with their business data. As enterprises seek to ...
Bloomberg L.P.

Bloomberg AI Researchers Mitigate Risks of “Unsafe” RAG LLMs and GenAI in Finance

NEW YORK – From discovering that retrieval augmented generation (RAG)-based large language models (LLMs) are less “safe” to introducing an AI content risk taxonomy meeting the unique needs of GenAI ...
InfoWorld

MongoDB releases mongot source code to boost RAG and AI workloads

By releasing the code behind its search and vector engine under the SSPL, MongoDB is giving self‑managed users new visibility ...
VentureBeat

Amazon’s RAGChecker could change AI as we know it—but you can’t use it yet

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Amazon’s AWS AI team has unveiled a new ...
Nasdaq

Red Hat and Elastic Fuel Retrieval Augmented Generation for GenAI Use Cases

Red Hat and Elastic expand collaboration to equip enterprises with tools to support retrieval augmented generation (RAG) integrated on Red Hat OpenShift AI, with Elasticsearch as a preferred vector ...