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Privacy

Privacy-preserving AI development with Azure & Gretel

Leveraging Gretel's privacy-preserving synthetic data generation platform to fine-tune Azure OpenAI Service models in the financial domain.
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Generate Differentially Private Synthetic Text with Gretel GPT

Safely leverage sensitive or proprietary text data for advanced language model training and fine-tuning
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Copyright © 2022 Gretel.ai

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.
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Fine-tuning Models for Healthcare via Differentially-Private Synthetic Text

How to safely fine-tune LLMs on sensitive medical text for healthcare AI applications using Gretel and Amazon Bedrock
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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.
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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.
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Copyright © 2022 Gretel.ai

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.
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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.
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Gretel’s New Data Privacy Score

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