It's not just about making AI smarter, but also about making sure people can trust it and understand how it works.
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
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