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Best practices for implementing ChatGPT, large language models, and artificial intelligence in qualitative and survey-based research

Detalles Bibliográficos
Autor principal: Kantor, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694559/
http://dx.doi.org/10.1016/j.jdin.2023.10.001
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author Kantor, Jonathan
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spelling pubmed-106945592023-12-05 Best practices for implementing ChatGPT, large language models, and artificial intelligence in qualitative and survey-based research Kantor, Jonathan JAAD Int Commentary Elsevier 2023-10-08 /pmc/articles/PMC10694559/ http://dx.doi.org/10.1016/j.jdin.2023.10.001 Text en © 2023 by the American Academy of Dermatology, Inc. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Commentary
Kantor, Jonathan
Best practices for implementing ChatGPT, large language models, and artificial intelligence in qualitative and survey-based research
title Best practices for implementing ChatGPT, large language models, and artificial intelligence in qualitative and survey-based research
title_full Best practices for implementing ChatGPT, large language models, and artificial intelligence in qualitative and survey-based research
title_fullStr Best practices for implementing ChatGPT, large language models, and artificial intelligence in qualitative and survey-based research
title_full_unstemmed Best practices for implementing ChatGPT, large language models, and artificial intelligence in qualitative and survey-based research
title_short Best practices for implementing ChatGPT, large language models, and artificial intelligence in qualitative and survey-based research
title_sort best practices for implementing chatgpt, large language models, and artificial intelligence in qualitative and survey-based research
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694559/
http://dx.doi.org/10.1016/j.jdin.2023.10.001
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