How does AI learn from user feedback?
An example of an AI chatbot conversation about how AI improves through user interactions.
How does AI learn from user feedback?
AI learns from user feedback by analyzing interactions, identifying patterns, and adjusting its responses accordingly.
Can you give me an example of this process?
Sure! For instance, if a user corrects the AI's answer, it can use that correction to improve future responses.
What types of feedback are most useful for AI?
Explicit feedback, like ratings or corrections, and implicit feedback, like user engagement, are both very valuable.
How quickly can AI adapt to new feedback?
AI can adapt in real-time for some systems, while others may require periodic updates to incorporate feedback.
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