AI

Announcing the open beta release of our DGAN model type.

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

Introducing Gretel Relational, enabling organizations to generate high-quality synthetic databases while preserving cross-table relationships.

Gretel's synthetic GSM8k dataset shows an 84% improvement for AI Reasoning tasks vs synthetic data generated without the Reflection technique.

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

How to safely fine-tune LLMs on sensitive medical text for healthcare AI applications using Gretel and Amazon Bedrock

Test data generation is the process of creating new data that replicates an original dataset. Here’s how developers and data engineers use it.

Gretel releases industry standard synthetic tabular data privacy evaluation and risk-based scoring system.

How our new Synthetic Data Accelerator Program with AWS will help enterprises scale responsible AI systems fast.

Use Gretel's synthetic data platform to replace, augment, or balance training datasets within MLOps pipelines like Vertex AI, Azure ML, and Amazon SageMaker.