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How Databricks is using synthetic data to simplify evaluation of AI agents
Multiple enterprises are using Databricks' synthetic data API, seeing a significant time reduction to improve agent quality and deployment.
While it remains to be seen how exactly the synthetic data offering will work for enterprises’ using the Databricks Intelligence platform, the Ali Ghodsi-led company claims that its internal tests have shown it can significantly improve agent performance across various metrics. Multiple enterprises using Databricks are already taking advantage of the synthetic data API as part of a private preview, and report a significant reduction in the time taken to improve the quality of their agents and deploy them into production. As the next step, the company plans to expand Mosaic AI Agent Evaluation with features to help domain experts modify the synthetic data for further accuracy as well as tools to manage its lifecycle.
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