Gretel Blog

A comprehensive guide on deploying Gretel Hybrid in an AWS environment to generate high-quality synthetic data within 30 minutes.

Celebrating Gretel's latest innovations by diving into the future of multimodal synthetic data, and our Model Playground and Tabular LLM.

How our new Synthetic Data Accelerator Program with AWS will help enterprises scale responsible AI systems fast.

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

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.

Gretel receives security certification to support customers with strict security requirements.

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

Gretel Workflows orchestrate synthetic data generation, ensuring users have accurate, up-to-date data for software development, analytics, and ML/AI.

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!

Generate private and shareable data automatically by triggering Gretel jobs in Amazon SageMaker

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

Here's how a hospital uses Gretel to help forecast staffing and resource needs for their emergency care unit, and to identify emerging trends in outbreaks.

We anonymized a massive 7 terabytes of data in a hybrid cloud environment with Gretel Transform. Here's how we did it.