What are feedback mechanisms in AI?
An example of an AI chatbot conversation about feedback mechanisms in AI.
What are feedback mechanisms in AI?
Feedback mechanisms in AI refer to processes that allow systems to learn from their outputs and improve over time.
Can you give me an example of how feedback works in machine learning?
Sure! In supervised learning, a model is trained on labeled data, and feedback is provided by comparing predictions to actual outcomes.
How do these mechanisms improve AI performance?
They help the AI adjust its parameters based on errors, leading to better accuracy and more reliable predictions.
Are there different types of feedback mechanisms?
Yes, there are several types, including positive feedback, negative feedback, and reinforcement learning.
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