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Synthetics

Scale Synthetic Data to Millions of Rows with ACTGAN

Discover how Gretel ACTGAN can help businesses generate synthetic data at scale with improved accuracy, faster training, and reduced memory requirements.
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Introducing Gretel Tabular DP: A fast, graph-based synthetic data model with strong differential privacy guarantees

Gretel Tabular DP is a fast and powerful new model to generate high quality tabular synthetic data with mathematical guarantees of privacy
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Unlocking Adapted LLMs on Enterprise Data

Gretel GPT supports new, state-of-the-art LLMs, and makes it easier for you to trust the privacy and accuracy of LLMs for enterprise use-cases.
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Gretel is now available in the AWS Marketplace

Announcing the availability of Gretel’s high quality synthetic data generation tools in the AWS Marketplace.
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Fine-tune a MPT-7B LLM with Gretel GPT

Learn how to fine-tune and prompt mpt-7b to generate responses matching popular Twitter personalities with Gretel GPT.
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Gretel is live on Google Cloud Marketplace 🎉

Gretel’s suite of privacy-enhancing tools and generative AI models are now available on Google Cloud Marketplace.
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Gretel GPT Sentiment Swap

Let’s fine tune and prompt a large language model to swap the sentiment of product reviews!
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Automate Synthetic Data Pipelines with Gretel Workflows

Gretel Workflows orchestrate synthetic data generation, ensuring users have accurate, up-to-date data for software development, analytics, and ML/AI.
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Prompting Llama-2 at Scale with Gretel

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.
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Optimize the Llama-2 Model with Gretel’s Text SQS

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