Privacy
Test Data Generation: Uses, Benefits, and Tips
Test data generation is the process of creating new data that replicates an original dataset. Here’s how developers and data engineers use it.
Read more...Teaching large language models to zip their lips with RLPF
Gretel introduces Reinforcement Learning from Privacy Feedback (RLPF), a novel approach to reduce the likelihood of a language model leaking private information.
Read more...Synthesizing Private Patient Data with Gretel: A Step-by-Step Guide
Create privacy-safe synthetic patient data with Gretel, ensuring compliance, secure sharing, and actionable insights for AI and machine learning in healthcare.
Read more...Gretel’s New Data Privacy Score
Gretel releases industry standard synthetic tabular data privacy evaluation and risk-based scoring system.
Read more...How to Create High Quality Synthetic Data for Fine-Tuning LLMs
Gretel Navigator’s synthetic data generation outperformed OpenAI's GPT-4 by 25.6%, surpassed Llama3-70b by 48.1%, and exceeded human expert-curated data by 73.6%.
Read more...How to Generate Synthetic Data: Tools and Techniques to Create Interchangeable Datasets
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.
Read more...AWS + Gretel Synthetic Data Accelerator Program for Generative AI
How our new Synthetic Data Accelerator Program with AWS will help enterprises scale responsible AI systems fast.
Read more...Gretel Unlocks PII Detection with Synthetic Financial Document Dataset
Gretel releases a new synthetic financial document dataset to empower AI developers in building customized and highly performant sensitive data detection systems.
Read more...Advanced Data Privacy: Gretel Privacy Filters and ML Accuracy
A look at how using Gretel’s Privacy Filters to immunize synthetic datasets against adversarial attacks can impact machine learning accuracy.
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).
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