AI
Generate Synthetic Databases with Gretel Relational
Introducing Gretel Relational, enabling organizations to generate high-quality synthetic databases while preserving cross-table relationships.
Read more...Teaching AI to Think: A New Approach with Synthetic Data and Reflection
Gretel's synthetic GSM8k dataset shows an 84% improvement for AI Reasoning tasks vs synthetic data generated without the Reflection technique.
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...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
Read more...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...Gretel’s New Data Privacy Score
Gretel releases industry standard synthetic tabular data privacy evaluation and risk-based scoring system.
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...Introducing Gretel MLOps
Use Gretel's synthetic data platform to replace, augment, or balance training datasets within MLOps pipelines like Vertex AI, Azure ML, and Amazon SageMaker.
Read more...Generate Question-Truth Pairs from Documents with Gretel Navigator
Learn how to generate question-answer pairs from documents using a unique application built using Gretel Navigator.
Read more...How to Improve RAG Model Performance with Synthetic Data
Effective strategies for leveraging high-quality synthetic data to improve RAG model performance.
Read more...