The Application and Challenge of Large Language Model in Medical Article Writing
This paper explores the application value and challenges of large language models,such as ChatGPT,in academic writing from the perspective of medical graduate education.With their powerful capabilities in text generation,comprehension,and inference,large language models can play a significant role in higher education and research.Through an analysis of various real-world application scenarios,the paper provides a series of suggestions and strategies aimed at helping graduate students use large language models more effectively while minimizing potential risks.As technology continues to advance,future large language models are expected to become even more powerful,but they may also introduce new and serious challenges.In conclusion,it is crucial to adopt a more scientific approach to utilizing large language models,ensuring that large language models become a genuine aid in medical graduate research and thesis writing,rather than an obstacle to independent thinking.
large language modelChatGPTgraduate educationmedical thesisacademic writingeducational reform
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维普
