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Incorporation of ChatGPT and Other Large Language Models into a Graduate Level Computational Bioengineering Course.
King, Michael R; Abdulrahman, Adam M; Petrovic, Mark I; Poley, Patricia L; Hall, Sarah P; Kulapatana, Surat; Lamantia, Zachary E.
Afiliación
  • King MR; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235 USA.
  • Abdulrahman AM; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235 USA.
  • Petrovic MI; Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN USA.
  • Poley PL; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235 USA.
  • Hall SP; Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN USA.
  • Kulapatana S; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235 USA.
  • Lamantia ZE; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235 USA.
Cell Mol Bioeng ; 17(1): 1-6, 2024 Feb.
Article en En | MEDLINE | ID: mdl-38435794
ABSTRACT
The remarkable capabilities of generative artificial intelligence and large language models (LLMs) such as ChatGPT have delighted users around the world. Educators have regarded these tools as either a cause for great concern, an opportunity to educate students on cutting-edge technology, or often some combination of the two. Throughout the Fall 2023 semester, we explored the use of ChatGPT (and Bard, among other LLMs) in a graduate level numerical and statistical methods course for PhD-level bioengineers. In this article we share examples of this ChatGPT content, our observations on what worked best in our course, and speculate on how bioengineering students may be best served by this technology in the future.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cell Mol Bioeng Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Cell Mol Bioeng Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos