This is a form of machine learning, but it's also another way that AI is trained since the model will adapt based on your choices and those of future users. Those choices become relevant data for the model.
AI models are typically trained with a small dataset to start, expanding the data over time as the model grows more sophisticated.
In other words, training AI models isn't all that different from teaching humans, using increasing amounts of information so they can make inferences as they progress.
As training techniques become more sophisticated and datasets become even larger, generative AI models should continue to get better, and training will remain a key component to building these transformative models.