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. 2023 Feb 8;9:e45312. doi: 10.2196/45312

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©Aidan Gilson, Conrad W Safranek, Thomas Huang, Vimig Socrates, Ling Chi, Richard Andrew Taylor, David Chartash. Originally published in JMIR Medical Education (https://mededu.jmir.org), 08.02.2023.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Education, is properly cited. The complete bibliographic information, a link to the original publication on https://mededu.jmir.org/, as well as this copyright and license information must be included.

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Template of question posed to each large language model (LLM), including both AMBOSS Attending Tip and the response from Chat Generative Pre-trained Transformer (ChatGPT). The correct answer to this question is “E. Zidovudine (AZT).” In the case of GPT-3, prompt engineering was necessary, with: "Please answer this multiple choice question:" + question as described previously + "Correct answer is." As GPT-3 is inherently a nondialogic model, this was necessary to reduce model hallucinations and force a clear answer [17].