Before revision:  Using transformers over large generated datasets, we train models to learn  properties of differential systems, such as local stability, behavior at infinity and controllability.
After revision:  Using transformers over large generated datasets, we train models to learn mathematical properties of differential systems, such as local stability, behavior at infinity and controllability.