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Machine Learning

Machine Learning Accuracy Using Synthetic Data

Can synthetic data really be used in machine learning? We explore the utility of synthetic data created from popular datasets and tested on popular ML algorithms.
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Transforms and Synthetics on Relational Databases

A walkthrough of our new multi-table transform and multi-table synthetics notebooks, which can be used independently or simultaneously.
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Copyright © 2022 Gretel.ai

Test Data Generation: Uses, Benefits, and Tips

Test data generation is the process of creating new data that replicates an original dataset. Here’s how developers and data engineers use it.
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Copyright © 2022 Gretel.ai

What Is Data Simulation?

Data simulation is the process of using large quantities of data to predict events and validate models. Get the full data simulation definition.
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Teaching large language models to zip their lips with RLPF

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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Copyright © 2022 Gretel.ai

How to Generate Synthetic Data: Tools and Techniques to Create Interchangeable Datasets

Synthetic data is algorithmically generated data that mirrors the statistical properties of the dataset it’s based on. Learn how to make high-quality synthetic data.
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AWS + Gretel Synthetic Data Accelerator Program for Generative AI

How our new Synthetic Data Accelerator Program with AWS will help enterprises scale responsible AI systems fast.
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Introducing Gretel MLOps

Use Gretel's synthetic data platform to replace, augment, or balance training datasets within MLOps pipelines like Vertex AI, Azure ML, and Amazon SageMaker.
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Copyright © 2021 Gretel Labs. All rights reserved.

Synthetic Time Series Data Creation for Finance

How we generated high-quality synthetic time-series data for one of the largest financial institutions in the world.
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Copyright (c) 2021 Gretel.ai

Advanced Data Privacy: Gretel Privacy Filters and ML Accuracy

A look at how using Gretel’s Privacy Filters to immunize synthetic datasets against adversarial attacks can impact machine learning accuracy.
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