Question: It is generally believed that more data will lead to more accurate predictions from AI models. And this is certainly something we have heard many

It is generally believed that more data will lead to more accurate predictions from AI models. And this is certainly something we have heard many times in this course. But is this true in each and every situation? Maybe you have heard "There is no rule without an exception" or something similar?

Describe a situation that would constitute an exception to the rule that more data will lead to more accurate predictions from AI models!

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