Generative Adversarial Network. Two neural networks competing against each other — a generator that creates fake data and a discriminator that tries to tell real from fake. This adversarial training produces incredibly realistic outputs. Dominated image generation before diffusion models took over.
AI systems that create new content — text, images, audio, video, or code — rather than just analyzing or classifying existing data.
AI-generated media that realistically depicts a person saying or doing something they never actually did.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
Artificial General Intelligence.
The research field focused on making sure AI systems do what humans actually want them to do.
Browse our complete glossary or subscribe to our newsletter for the latest AI news and insights.