What is feedback in AI?
Feedback in AI refers to the process of using output data to improve the model's performance.
Can you give me an example of feedback in machine learning?
Sure! In supervised learning, the model is trained on labeled data, and feedback is provided by comparing predictions to actual labels.
How does feedback help in improving AI models?
Feedback helps identify errors and areas for improvement, allowing the model to learn and adapt over time.
Are there different types of feedback used in AI?
Yes, there are several types, including positive feedback, negative feedback, and reinforcement feedback.
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