Gretel Synthetics Frequently Asked Questions (FAQs)

Gretel's synthetic data is artificial data created from a machine learning model trained on a source dataset, replicating insights and correlations without memorizing original records. Gretel-synthetics uses LSTM neural networks to learn patterns in text or structured data. The outputs include a synthetic data model, initial synthetic data records, and premium reporting assessing quality and correlations with the original dataset. Differential privacy is used to protect sensitive data during training.