Andrew Carr
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Evaluating Data Sampling Methods with a Synthetic Quality Score
An evaluation of the effect of sampling procedures on the quality of synthetic tabular data using Gretel.ai's Synthetic Quality Score (SQS).
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What is Model Soup?
A brief exploration of model soup, the new ensembling technique that takes the average weights of multiple models to improve overall performance.
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How to safely work with another company's data
Data sharing is central to modern business but entails risks. Synthetic data can enable data sharing while reducing the risk of privacy-compromising linkage attacks.
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Diffusion models for document synthesis
Explore state-of-the-art image synthetics for business documents using diffusion models.
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Downstream ML classification with Gretel ACTGAN and PyCaret
Learn about downstream machine learning tasks and synthetic data with Gretel’s new ACTGAN model and the PyCaret library
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Synthetic Image Models for Smart Agriculture
Learn how synthetic image models can address data drift and improve a computer vision model's accuracy in unexpected conditions.
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Bringing AI-generated images to enterprise use cases
Gretel's new image synthetics enable you to generate high-quality images at scale. Get started today with our free public preview and let us know what you think!
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Teaching large language models to zip their lips
Gretel introduces Reinforcement Learning from Privacy Feedback (RLPF), a novel approach to reduce the likelihood of a language model leaking private information.
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