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Q2 Single choice

What is the main consequence of the scaling law in deep learning for real-world applications?

A
With more data, it is possible to exceed the irreducible error region.
B
The best performing model can be established even in the small data region.
C
Small and medium error regions can approach the results of the big data region.
D
In the power-law region, with more data it is possible to achieve better results.

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