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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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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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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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Copyright © 2022 Gretel.ai

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.
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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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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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Copyright (c) 2021 Gretel.ai

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.
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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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