AI

Augment machine learning datasets with synthetically generated text and labels using an open-source implementation of GPT-3.

Take a deep dive on training Gretel’s open-source, synthetic data library to generate electronic health records that protect individual privacy (PII).

Assessing the efficacy and quality of synthetic data with Gretel Evaluate API.

Get to know some of Gretel’s Applied Science team, their experience building state-of-the-art generative AI models, and advice for aspiring data scientists.

An evaluation of the effect of sampling procedures on the quality of synthetic tabular data using Gretel.ai's Synthetic Quality Score (SQS).

Create a fair, balanced, privacy preserving version of the 1994 US Census dataset using gretel-synthetics.

Explore how to create a batch interface with the latest version of Gretel Synthetics on Google Colaboratory.

Some of our newest product and technology initiatives that will ensure the Gretel platform continues to grow and evolve with the needs of modern data consumers.

Generate artificial records to balance biased datasets and improve overall model accuracy.

Use synthetic data to improve model accuracy for fraud, cyber security, or any classification task with an extremely limited minority class.