How does AI use feedback to improve its responses?
AI uses feedback to learn from mistakes and enhance its algorithms, making responses more accurate over time.
Can you give me an example of feedback in action?
Sure! If a user corrects an AI's answer, that correction can be used to adjust the model's understanding for future interactions.
Is user feedback the only way AI learns?
No, AI also learns from data patterns, training datasets, and reinforcement learning, but user feedback is crucial for real-time improvement.
How quickly can AI adapt to feedback?
It depends on the system, but many AI models can incorporate feedback almost instantly or in subsequent updates.
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