When Databricks Inc. launched DBRX, a universal model for major languages, in late March, it marked another milestone in a strategy that was based on three big bets when the company was founded in 2013.
“The first was that companies would move to the cloud, the second was that successful companies would use open source, and the third was that machine learning would really be at the forefront,” said Chris D’Agostino (pictured). ), Global Field Chief Technology Officer of Databricks. “DBRX is the culmination of a decades-long strategy.”
D’Agostino spoke with theCUBE Research analysts John Furrier and Savannah Peterson at Google Cloud Next 2024 during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the integration of DBRX with MosaikML and how machine learning is being adopted across the Databricks portfolio. (*Disclosure below.)
Databricks leverages its acquisition of MosaicML
DBRX can be combined with Mosaic AI, a toolset for building and deploying AI models that emerged from Databricks’ acquisition of MosaicML Inc. last year for an eye-popping $1.3 billion. MosaicML provides generative AI tools that help Databricks customers train and refine models at a lower cost.
“We acquired MosaikML and there is a lot in the press about the price,” D’Agostino said. “DBRX is the first step toward these results. You can create open models that work just as well as the proprietary models and allow customers to do more with their own data in a very secure way.”
Databricks’ CTO stated that the company is also focused on integrating machine learning to offer products and services beyond building and training large language models.
“Not only are we creating an environment where people can build and train their own LLMs and other types of machine learning models, but we are also embedding machine learning into the Databricks platform,” said D’Agostino. “When new data comes in, we have trained models on existing data, and when the new data comes in, we can compare and contrast whether the new data is consistent or not.”
Here’s the full video interview, part of coverage from SiliconANGLE and theCUBE Research Google Cloud Next 2024:
(*Disclosure: TheCUBE is a paid media partner for Google Cloud Next 2024. Neither Google LLC, the primary sponsor of theCUBE’s event coverage, nor any other sponsors have editorial control over content on theCUBE or SiliconANGLE.)