As enterprise demand for building multi-agent systems continues to grow, data infrastructure services providing firm, Databricks, is updating its Mosaic AI Agent Evaluation module with a new synthetic data generation API that will help enterprises evaluate agents faster.
Multi-agent systems, otherwise known as Agentic AI, have caught the fancy of enterprises as these agents go further than just generating code or content for human review. Agentic AI systems can follow instructions, make decisions, and take actions much as a human worker would, without human intervention.
The new API, which is currently in public preview, is designed to speed up the agent development and testing process so that agents can be deployed in production faster.