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Synthetics

Sample-to-Dataset: Generate Rich Datasets from Limited Samples Using Data Designer

Seed to succeed: use the sample-to-dataset workflow to create diverse, large-scale synthetic datasets tailored to your needs with nothing but a few samples.
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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 the Reflection technique.
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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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Synthetic Data and the Data-centric Machine Learning Life Cycle

Gretel's synthetic data platform overcomes challenges across the data-centric machine learning life cycle to enable AI and ML solutions.
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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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Introducing world's largest synthetic open-source Text-to-SQL dataset

Gretel releases largest open source Text-to-SQL dataset to accelerate AI model training
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An Awesome Synthetic Multilingual Prompts Dataset

Gretel's latest open synthetic dataset aims to enhance LLM interactions and contributes to the popular 'awesome-chatGPT-prompts' GitHub repository.
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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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GSM-Symbolic: Analyzing LLM Limitations in Mathematical Reasoning and Potential Solutions

What The Recent Paper on LLM Reasoning Got Right—And What It Missed.
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