Open Source

Gretel releases a new synthetic financial document dataset to empower AI developers in building customized and highly performant sensitive data detection systems.

Train financial LLMs with Gretel's Synthetic Text-to-Python dataset to transform natural language into precise, domain-specific Python code for FinTech.

Gretel fine-tuned, synthetically-enhanced GLiNER models for better PII & PHI detection—datasets included.

Gretel's latest open synthetic dataset aims to enhance LLM interactions and contributes to the popular 'awesome-chatGPT-prompts' GitHub repository.

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

Fine-tune CodeLlama with Gretel's Synthetic Text-to-SQL on BIRDBench, achieving a 36% relative improvement in EX and 38% in VES.

Rapid SLM releases highlight the need for clarity on licenses + lineage, which are crucial for enterprises navigating open-weight models and synthetic data ownership

How thoughtful, high-quality synthetic data generation, rather than 'indiscriminate' use, can prevent model collapse.

Discover the streamlined Gretel Python SDK. Start building with synthetic data in just 3 lines of code 🚀

Learn the simplest way to generate synthetic data without setting up your own infrastructure and GPUs.