LLMs

Gretel Navigator’s synthetic data generation outperformed OpenAI's GPT-4 by 25.6%, surpassed Llama3-70b by 48.1%, and exceeded human expert-curated data by 73.6%.

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

Gretel Navigator now enables fine tuning for tabular datasets containing numeric, categorical, free text, JSON, and sequential (time series) data.

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

Gretel partners with Databricks to seamlessly integrate synthetic data workflows and improve model performance for Enterprise AI.

Automate hyperparameter sweeps to create the best synthetic data for your task 🧹

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

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

Effective strategies for leveraging high-quality synthetic data to improve RAG model performance.