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Abstract INTRODUCTION: ChatGPT, a language model developed by OpenAI, uses a 175 billion parameter Transformer architecture for natural language processing tasks. This study aimed to compare the knowledge and interpretation ability of ChatGPT with those of medical students in China by administering the Chinese National Medical Licensing Examination (NMLE) to both ChatGPT and medical students. METHODS We evaluated the performance of ChatGPT in two years' worth of the NMLE, which consists of four units. At the same time, the exam results were compared to those of medical students who had studied for five years at medical colleges. RESULTS ChatGPT’s performance was lower than that of the medical students, and ChatGPT’s correct answer rate was related to the year in which the exam questions were released. CONCLUSION ChatGPT’s knowledge and interpretation ability for the NMLE were not yet comparable to those of medical students in China. It is probable that these abilities will improve through deep learning.
Wang et al. (Thu,) studied this question.
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