Databricks’ new API is geared towards generating question and answer collections, which are useful for developing applications powered by large language models.

The new API is designed to speed up the agent development and testing process so agents can be deployed in production faster.

Multiple enterprises are using Databricks' synthetic data API, seeing a significant time reduction to improve agent quality and deployment.

Data analytics developer Databricks Inc. today announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning ...

Databricks, the leader in unified data analytics, today announced API integration with AWS Data Exchange, a new service that makes it easy for million ...

Databricks Is Raising $10 Billion, in One of the Largest Venture Capital Deals The artificial intelligence start-up’s funding shows investors remain enthusiastic about the A.I. boom.