How does feedback influence AI performance?
Feedback is crucial for AI as it helps improve accuracy and adapt to user needs.
Can you give an example of feedback improving an AI model?
Sure! In natural language processing, user corrections help refine language models, enhancing their understanding.
What types of feedback are most effective for AI?
Both qualitative feedback, like user reviews, and quantitative data, like performance metrics, are effective.
How often should feedback be provided to AI systems?
Regular feedback is ideal, especially during training phases, but ongoing feedback is beneficial post-deployment.
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