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Assessment of chemistry knowledge in large language models that generate code.
White, Andrew D; Hocky, Glen M; Gandhi, Heta A; Ansari, Mehrad; Cox, Sam; Wellawatte, Geemi P; Sasmal, Subarna; Yang, Ziyue; Liu, Kangxin; Singh, Yuvraj; Peña Ccoa, Willmor J.
Afiliação
  • White AD; Department of Chemical Engineering, University of Rochester USA andrew.white@rochester.edu.
  • Hocky GM; Vial Health Technology, Inc. USA.
  • Gandhi HA; Department of Chemistry, New York University USA hockyg@nyu.edu.
  • Ansari M; Simons Center for Computational Physical Chemistry, New York University USA.
  • Cox S; Department of Chemical Engineering, University of Rochester USA andrew.white@rochester.edu.
  • Wellawatte GP; Department of Chemical Engineering, University of Rochester USA andrew.white@rochester.edu.
  • Sasmal S; Department of Chemical Engineering, University of Rochester USA andrew.white@rochester.edu.
  • Yang Z; Department of Chemistry, University of Rochester USA.
  • Liu K; Department of Chemistry, New York University USA hockyg@nyu.edu.
  • Singh Y; Department of Chemical Engineering, University of Rochester USA andrew.white@rochester.edu.
  • Peña Ccoa WJ; Department of Chemistry, New York University USA hockyg@nyu.edu.
Digit Discov ; 2(2): 368-376, 2023 Apr 11.
Article em En | MEDLINE | ID: mdl-37065678

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Digit Discov Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Digit Discov Ano de publicação: 2023 Tipo de documento: Article