Databricks' Adaptive Instructed-Retriever lets AI agents decide how many times to search per question, matching frontier ...

In one test described by Databricks, Adaptive Instructed-Retriever verified that a company did not explicitly list ...

Databricks' KARL agent matches Claude Opus 4.6 accuracy with 33% lower cost and 47% less latency by learning to stop ...

With customers asking increasingly complex questions of AI agents, Databricks is launching a model aimed at improving the accuracy of data retrieval systems.

If you wanted to raise the profile of your major tech company and had $10 million to spend, how would you spend it? On a Super Bowl ad? An F1 sponsorship? You could spend it training a generative AI ...

Today, Databricks, the fast growing data infrastructure company led by Ali Ghodsi, announced a partnership with Paris-based Mistral, the well-funded startup that's made waves in the global AI ...

Adaptive Instructed-Retriever dynamically decides when queries need additional search steps, aiming to improve answer quality without driving up enterprise AI costs.

OpenAI and Databricks unveiled a new, multi-year, $100M partnership on Thursday to expand the usage of OpenAI's artificial intelligence models. The deal will see OpenAI's models become natively ...

Databricks unveiled new large language model and GPU optimization capabilities in Model Serving in a move designed to enable customers to improve generative AI outcomes. Databricks launched Model ...

Using several recent innovations, the company Databricks will let customers boost the IQ of their AI models even if they don’t have squeaky clean data. Databricks, a company that helps big businesses ...

Databricks said annualized revenue has jumped more than 80% from a year earlier and now sits at $6.9 billion, up from a figure of $5.4 billion in the fiscal fourth quarter. While Databricks is ...

As AI adoption accelerates across telecoms, fragmented model access, rising inference costs and ungoverned agent sprawl are ...