What are feedback loops in AI?
Feedback loops in AI refer to the process where the output of a system is circled back as input, influencing future outputs.
Can you give me an example of a feedback loop in machine learning?
Sure! In supervised learning, the model's predictions are compared to actual outcomes, and the errors are used to adjust the model.
How do feedback loops improve AI performance?
They help refine the model by continuously learning from its mistakes, leading to better accuracy and efficiency over time.
Are there any risks associated with feedback loops?
Yes, if not managed properly, feedback loops can lead to overfitting or reinforce biases present in the training data.
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