Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
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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