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Evaluating the Accuracy of Responses by Large Language Models for Information on Disease Epidemiology
5
Zitationen
8
Autoren
2025
Jahr
Abstract
ChatGPT-4 outperformed in retrieving information on disease epidemiology compared to Bard and ChatGPT-3.5. However, all three LLMs presented inaccurate responses, including irrelevant, incomplete, or fabricated references. Such limitations preclude the utility of the current forms of LLMs in obtaining accurate disease epidemiology by researchers in the pharmaceutical industry, in academia, or in the regulatory setting.
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