Why is feedback important in AI training?
Feedback is crucial in AI training as it helps improve the model's accuracy and performance by correcting errors.
Can you explain how feedback is used during the training process?
Certainly! Feedback is used to adjust the model's parameters based on the difference between predicted and actual outcomes.
What happens if an AI model doesn't receive feedback?
Without feedback, an AI model may become biased or inaccurate, as it won't learn from its mistakes or improve over time.
Are there different types of feedback used in AI training?
Yes, there are several types, including supervised, unsupervised, and reinforcement learning feedback, each serving different purposes.
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