How can feedback improve AI performance?
Feedback is crucial for AI as it helps refine algorithms, correct errors, and enhance user experience.
Can you give an example of how feedback has improved a specific AI?
Sure! For instance, in language models, user corrections help the AI learn context better, leading to more accurate responses.
What methods are used to collect feedback from users?
Common methods include surveys, direct user interactions, and analyzing user behavior to identify areas for improvement.
Is there a risk of bias in feedback?
Yes, biased feedback can lead to skewed AI performance, so it's important to gather diverse input from various users.
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