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 company behind Apache Spark, today launched a new set of APIs that will enable enterprises to automate their Spark infrastructure to accelerate the deployment of production data ...

Databricks, the company behind Apache Spark, is releasing a new set of APIs that will enable enterprises to automate their Spark infrastructure to accelerate the deployment of production data-driven ...

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 intends to integrate Okera’s capabilities with its own data governance layer inside its lakehouse offering, dubbed Unity Catalog.