I think too many people think only of AI use in places where errors are not tolerated. It isn't good at that. LLMs hallucinate & make mistakes. But for a huge amount of work, human error is tolerated, and the question is whether AIs (working with humans) make more or less
LLMs errors tolerance: rethinking AI deployment beyond zero-error
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