April 12 (Reuters) - Databricks, a San Francisco-based startup last valued at $38 billion, released a trove of data on Wednesday that it says businesses and researchers can use to train chatbots ...

New text-to-image diffusion model enables organizations to generate high-fidelity, trusted images When organizations need high-quality images for their collateral, websites, applications, or campaigns ...

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 ...

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...

Ali Ghodsi, co-founder and chief executive officer of Databricks Inc., speaks during a Bloomberg Technology television interview in San Francisco, California, U.S., on Tuesday, Oct. 22, 2019. Ghodsi ...

Databricks Inc. today announced several enhancements to its Mosaic AI toolset for building and deploying artificial intelligence models that specifically target generative AI applications. The ...

Databricks Inc. today launched DBRX, a general-purpose large language model that it says outperforms all existing open-source models — and some proprietary ones — on standard benchmarks. The company ...

WTW (NASDAQ: WTW) today announced the launch of the Radar Connector for Databricks, a significant addition to WTW’s ...

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.

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 ...

Add Yahoo as a preferred source to see more of our stories on Google. The march toward an open source ChatGPT-like AI continues. Today, Databricks released Dolly 2.0, a text-generating AI model that ...

Databricks, the lakehouse company, is launching Databricks Model Serving, a solution aiming to streamline the management and scaling of production machine learning (ML) within the Databricks Lakehouse ...