Databricks unveils synthetic data generation API to help evaluate agents faster
Briefly

As the demand for multi-agent systems rises, Databricks is enhancing its Mosaic AI Agent Evaluation module with a synthetic data generation API to streamline agent evaluation.
The development of multi-agent systems, also known as Agentic AI, allows these systems to execute tasks autonomously, mimicking human decision-making and actions.
With the new API, enterprises can significantly accelerate the agent development lifecycle, meaning agents can transition to production environments more rapidly and efficiently.
This public preview of the synthetic data generation API marks a pivotal step in the deployment timeline for enterprises utilizing advanced AI capabilities in their operations.
Read at InfoWorld
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