Machine Learning

How we implemented a practical attack on a synthetic data model to validate its ability to protect sensitive information under different parameter settings.

Discover how Gretel ACTGAN can help businesses generate synthetic data at scale with improved accuracy, faster training, and reduced memory requirements.

Use Gretel Evaluate classification and regression tasks to validate synthetic data utility

How to utilize Gretel to create high-quality synthetic tabular data that you can use as training data for a classification model in Vertex AI.

Gretel introduces Reinforcement Learning from Privacy Feedback (RLPF), a novel approach to reduce the likelihood of a language model leaking private information.

Explore state-of-the-art image synthetics for business documents using diffusion models.

Learn about downstream machine learning tasks and synthetic data with Gretel’s new ACTGAN model and the PyCaret library

Synthetic data is algorithmically generated data that mirrors the statistical properties of the dataset it’s based on. Learn how to make high-quality synthetic data.

A walkthrough of our new multi-table transform and multi-table synthetics notebooks, which can be used independently or simultaneously.

Learn the simplest way to generate synthetic data without setting up your own infrastructure and GPUs.