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Users can mitigate the impacts of Large Language Model hallucinations by employing five verification strategies: (1) critical thinking when reviewing content; (2) independent research and fact-checking; (3) using multiple sources to validate accuracy; (4) requesting human oversight for critical or high-stakes applications; and (5) utilizing feedback mechanisms to report and correct hallucinated content.

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