Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models.

For those looking to get the most out of their AI system, synthetic data proves useful when real historical data is scarce, sensitive or difficult to obtain.

Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

This article delves into how you can utilize LLMs to synthesize training data, offering a unique solution to real-world data challenges. Through this comprehensive guide, we aim to provide you with a ...

The Data Science Lab Data Prep for Machine Learning: Splitting Dr. James McCaffrey of Microsoft Research explains how to programmatically split a file of data into a training file and a test file, for ...