Agents

Autonomous components that infer schema, detect edge cases, choose generators, and validate

AI agents play a significant role in generating synthetic data by automatically inferring schemas from real datasets to guide the creation process. They detect edge cases by analyzing outliers and rare cases in datasets, ensuring comprehensive coverage in synthetic data. AI also selects appropriate data generators tailored to each data type, improving data variety and realism. Finally, these agents validate the synthetic data against the original datasets to ensure accuracy and reliability, enhancing the utility for testing and development purposes.