I've recently been studying ISO/IEC 42001:2023 and came across a great LinkedIn Learning course by Lyron Andrews.

Among the many noteworthy points, Lyron summed the differences well between "Generative AI" learning models and "Discriminative AI" models:

A helpful analogy is that a generative model simulates a human artist. They can create something based on their impression or understanding of the world. Discriminative models are like art critics. They don't create anything new, but classify and typify existing art. So for instance, if a generative model created something new, a discriminative model can categorize and distinguish it accurately.