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 could expose data, governance, and budget gaps that CIOs can’t ignore.
diginomica

Something for the weekend - why enterprise AI progress is not where the industry thinks! Time to chow down on some snake tail?

Databricks’ research into instructed retrieval and the OfficeQA benchmark suggests that the hardest problems in enterprise AI ...
AOL

Want AI agents to work better? Improve the way they retrieve information, Databricks says

Hello and welcome to Eye on AI. In this edition…Nvidia snags the team and tech from AI chip startup Groq…Meta buys Manus AI…AI gets better at improving AI…but we might not know enough about the brain ...
Forbes

Where CIOs Must Focus To Sustain Generative AI Momentum

Generative AI remains a top investment priority for most organizations. And hopes are high. Among U.S. CEOs, 61% expect AI to change how their business generates value, according to a recent PwC ...
Forbes

Databricks Highlights Data Ownership At Its Data And AI Summit 2024

Databricks CEO Ali Ghodsi and Nvidia CEO Jensen Huang announced an expansion of their companies’ partnership at the Databricks Data and AI Summit. I was recently back in San Francisco, attending the ...
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 ...