Data science

How we implemented a practical attack on a synthetic data model to validate its ability to protect sensitive information under different parameter settings.

Can synthetic data really be used in machine learning? We explore the utility of synthetic data created from popular datasets and tested on popular ML algorithms.

Data simulation is the process of using large quantities of data to predict events and validate models. Get the full data simulation definition.

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.

How Gretel's data quality analysis tools for evaluating generated text can help you optimize the performance LLMs, like the Llama-2 model.

How combining agent-based methods, LLMs, and synthetic data enables natural language queries for databases and data warehouses, sans SQL.

Let’s fine tune and prompt a large language model to swap the sentiment of product reviews!

Learn to prepare tabular data for AI and ML with an end-to-end data cleaning workflow.

Announcing the open beta release of our DGAN model type.

An interview with one of Gretel's users on why medical practitioners turn to synthetic data when overcoming challenges with clinical data.