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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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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 reflection.
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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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Copyright © 2023 Gretel.ai

Generate Synthetic Databases with Gretel Relational

Introducing Gretel Relational, enabling organizations to generate high-quality synthetic databases while preserving cross-table relationships.
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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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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.
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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.
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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.
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Synthetic Time Series Data Creation for Finance

How we generated high-quality synthetic time-series data for one of the largest financial institutions in the world.
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