EXIN BCS Gen AI Award Practice Questions - EXIN BCS Generative Artificial Intelligence Award Exam

Discriminative models classify or predict labels based on input data, whereas generative models learn data distributions to create new, plausible data instances. Discriminative models use neural networks, whereas generative models rely exclusively on rule-based expert systems. Discriminative models process unlabelled data, whereas generative models require fully supervised labelled data for training. Discriminative models generate continuous numerical outputs, whereas generative models only output discrete text tokens.