Feedback is useful in evaluating the performance of a system in order to direct the course of its behavior. With positive feedback, the model is rewarded for the outcome it provides. And with negative feedback, it is notified about its inaccurate outcomes. Thus, with the feedback provided, an AI model learns to provide better outputs.