AI
Conditional Text Generation by Fine Tuning Gretel GPT
Augment machine learning datasets with synthetically generated text and labels using an open-source implementation of GPT-3.
Read more...How to safely work with another company's data
Data sharing is central to modern business but entails risks. Synthetic data can enable data sharing while reducing the risk of privacy-compromising linkage attacks.
Read more...Red Teaming Synthetic Data Models
How we implemented a practical attack on a synthetic data model to validate its ability to protect sensitive information under different parameter settings.
Read more...Generate Synthetic Databases with Gretel Relational
Introducing Gretel Relational, enabling organizations to generate high-quality synthetic databases while preserving cross-table relationships.
Read more...Bringing AI-generated images to enterprise use cases
Gretel's new image synthetics enable you to generate high-quality images at scale. Get started today with our free public preview and let us know what you think!
Read more...Diffusion models for document synthesis
Explore state-of-the-art image synthetics for business documents using diffusion models.
Read more...The Evolution of Gretel's Developer Stack for Synthetic Data
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.
Read more...Measure the Quality of any Synthetic Dataset with Gretel Evaluate
Assessing the efficacy and quality of synthetic data with Gretel Evaluate API.
Read more...Deep dive on generating synthetic data for Healthcare
Take a deep dive on training Gretel’s open-source, synthetic data library to generate electronic health records that protect individual privacy (PII).
Read more...Progress and Innovation - Women in AI
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.
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