Generative adversarial network

A generative adversarial network trains two neural networks against each other: a generator that creates fake samples and a discriminator that tries to tell them apart from real data.

Generative adversarial network sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called GAN.