Performance of GPT-3.5 and GPT-4 on the Korean Pharmacist Licensing Examination: Comparison Study
In the last 3 years, GPT models have performed very close to or exceeded the passing threshold for the KPLE. This study demonstrates the potential of large language models in the pharmacy domain; however, extensive research is needed to evaluate their reliability and ensure their secure application in pharmacy contexts due to several inherent challenges. Addressing these limitations could make GPT models more effective auxiliary tools for pharmacy education.
Authors
- Eun Young Kim (ORCID: https://orcid.org/0000-0003-3525-8805)
- Hye Kyung Jin (ORCID: https://orcid.org/0000-0002-2106-1086)
Institutions
- United States Nuclear Regulatory Commission (US)
- Chung-Ang University (KR)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2024-12-04
- DOI
- https://doi.org/10.2196/57451
- Citations
- 11
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.32