Synthetics

‍Gretel today announced that it has successfully achieved Google Cloud Ready - BigQuery designation.

Gretel releases largest open source Text-to-SQL dataset to accelerate AI model training

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

Use Gretel DGAN and Gretel Tuner to generate time series data that accurately mirrors complex business rules and sequences

How to automatically generate missing tabular data that maintains contextual relevance.

Leverage Gretel’s New Ultra-Fast and Fully Flexible De-Identification and Rule-Based Transformation Solution for HIPAA Compliance.

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

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

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

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.