The API, essentially, works in three steps, including calling the API, asking it to generate the number of questions, and then setting natural language guidelines to assist the synthetic generation.

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

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 ...

With the new Lakehouse AI, Databricks aims to unify the data and AI platform, enabling organizations to accelerate their generative AI journey.

Databricks launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform.

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

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

Gemini API basics, function calling and more Watch this video on YouTube. Function calling operates through the use of function declarations.

Databricks says new LLM Dolly 2.0 is available for commercial applications without the need to pay for API access or share data with third parties.

Data analytics firm Databricks said on Thursday it will ramp up hiring and invest more than $250 million in India, doubling down on the country's artificial intelligence talent pool and growing AI ...