The train-validate-test process is hard to sum up in a few words, but trust me that you'll want to know how it's done to avoid the issue of model overfitting when making predictions on new data. The ...

Government agencies are on the hunt for vendors and best practices that can help them make use of artificially generated data — also known as synthetic data generation – that can be used to build or ...

Generative AI models aren't born out of a vacuum. In a sense, these systems are built piece by piece using massive amounts of training data, and always need more and more information to keep improving ...

"Only if the data is split in such a way that the test data differ significantly from the training data can it be determined whether the model can later handle novel data, so-called ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A team of Abacus.AI, New York University, ...