Alex Watson

Synthetic data is artificially annotated information that is generated by computer algorithms or simulations, commonly used as an alternative to real-world data.

How to use Gretel Navigator for generating diverse, high-quality training data to create better language models.

How differential privacy can generate provably private synthetic text data for a variety of enterprise AI applications.

Beta2 for Gretel.ai is all about delivering privacy engineering as a service through clean, simple APIs.

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.

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 how to anonymize tabular data to meet GDPR standards using Gretel's synthetic data APIs.

Gretel's synthetic data platform overcomes challenges across the data-centric machine learning life cycle to enable ML and AI solutions.

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.