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Large language models (LLMs) do not have a mechanism to prevent them from giving incorrect answers. While I believe they are still useful, they will never be 100% accurate. We need to recognize that users will frequently receive wrong answers. To improve reliability, there should be a system in place that involves humans in the process of verifying the accuracy of the responses.
Humans get things wrong too. Humans are not 100% accurate; not by any stretch.