Understanding the non-deterministic nature of models is crucial for effective interaction and control. It’s essential to develop an intuition about when non-deterministic behaviors might occur and how to mitigate their impact. Recognizing that lower temperature settings yield consistent outputs while higher settings introduce variability helps in managing expectations. To utilize models effectively, one must experiment and interact with them directly, learning how to steer their behavior through necessary parameterization. This hands-on approach is vital in refining the interaction process to achieve desired outcomes reliably.