AI

Announcing the open beta release of our DGAN model type.

Test data generation is the process of creating new data that replicates an original dataset. Here’s how developers and data engineers use it.

Start building with synthetic data in just 3 lines of code 🚀

Discover how to efficiently use Gretel's platform for prompting Llama-2 on large datasets, whether you're completing answers, generating synthetic text, or labeling.

Create high-quality synthetic datasets of conversational dialogs safely tuned on your private, sensitive data with Gretel.

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

Set up a cutting-edge environment for deep learning with TensorFlow 2.10, PyTorch, Docker, and GPU support.

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

Gretel’s suite of privacy-enhancing tools and generative AI models are now available on Google Cloud Marketplace.

Augment machine learning datasets with synthetically generated text and labels using an open-source implementation of GPT-3.