Synthetic Data Configuration Templates

Gretel is working on creating an API-driven approach to privacy engineering, backed by Gretel Cloud. This involves a configuration-driven approach where users can construct their privacy workloads in configuration files that can be sent to the REST API. The company has spent time with customers helping create optimal synthetic data configurations based on the type of training data being used. They have found some good synthetic data configurations and are making them available as templates that can be consumed and edited just before training a model. These templates will be useful for users regardless of their data type, allowing them to pick the right parameters needed to train their synthetic data models.