What does “GAN (Generative Adversarial Network)” mean?

A compressed representational space where similar concepts are positioned near each other as vectors.

A generative architecture that learns to reverse noise to synthesize images, audio, or other content.

An attention pattern where each token attends only to a fixed-size window of nearby tokens to reduce compute.

A training setup where a model improves by generating data through interactions or competitions with copies of itself.

AI systems that produce new content such as text, images, audio, video, or code.

A vector showing how much each parameter should change to reduce loss.