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Fine-Tuning CodeLlama on Gretel's Synthetic Text-to-SQL Dataset using Amazon SageMaker JumpStart
Fine-tune CodeLlama with Gretel's Synthetic Text-to-SQL on BIRDBench, achieving a 36% relative improvement in EX and 38% in VES.
Read more...Gretel announces partnership with Databricks to improve Enterprise AI performance
Gretel partners with Databricks to seamlessly integrate synthetic data workflows and improve model performance for Enterprise AI.
Read more...Addressing Concerns of Model Collapse from Synthetic Data in AI
How thoughtful, high-quality synthetic data generation, rather than 'indiscriminate' use, can prevent model collapse.
Read more...How to Create High Quality Synthetic Data for Fine-Tuning 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%.
Read more...Fine-Tuning Gretel Navigator To Generate Highest Quality Domain-Specific Synthetic Data
Gretel Navigator now enables fine tuning for tabular datasets containing numeric, categorical, free text, JSON, and sequential (time series) data.
Read more...Generate textbook-quality synthetic data for training LLMs and SLMs
How to use Gretel Navigator for generating diverse, high-quality training data to create better language models.
Read more...Nail Synthetic Data Generation Every Time with Gretel Tuner
Automate hyperparameter sweeps to create the best synthetic data for your task 🧹
Read more...Filling in sparse tables with Gretel Navigator
How to automatically generate missing tabular data that maintains contextual relevance.
Read more...Differential Privacy and Synthetic Text Generation with Gretel: Making Data Available at Scale (Part 1)
How differential privacy can generate provably private synthetic text data for a variety of enterprise AI applications.
Read more...How to Improve RAG Model Performance with Synthetic Data
Effective strategies for leveraging high-quality synthetic data to improve RAG model performance.
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