To an extent.

My professional ANN experience is with computer vision and object detection. A bit with image and sound GANs too.

LLMs that I’ve spent time training and experimenting with (and I argue GANs as a class of ANN, in general) tend to “hallucinate” or “dream harder” after several tens of queries within the same instance. But one can improve output “fidelity” based on constraint parameters on the user and inference self-check algorithms.