A head-to-head comparison of the accuracy of commercially available large language models for infection prevention and control inquiries, 2024

2024年,对市售大型语言模型在感染预防和控制查询方面的准确性进行直接比较

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Abstract

We investigated the accuracy and completeness of four large language model (LLM) artificial intelligence tools. Most LLMs provided acceptable answers to commonly asked infection prevention questions (accuracy 98.9%, completeness 94.6%). The use of LLMs to supplement infection prevention consults should be further explored.

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