The SDK allows users to train synthetic data generators locally or via a remote endpoint on tabular or language datasets. It provides primitives for creating generators, generating synthetic datasets at scale, and connecting to organizational data sources. Differential privacy techniques are used to ensure the synthetic output does not leak information from the original training data.