This paper is in the following e-collection/theme issue:

Commentary (1) Artificial Intelligence (1353) Evaluation and Research Methodology for mHealth (207) mHealth for Data Collection and Research (952) Chatbots and Conversational Agents (530) Generative Language Models Including ChatGPT (303) Methods and Instruments in Medical Informatics (124)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57978, first published .
The Evaluation of Generative AI Should Include Repetition to Assess Stability

The Evaluation of Generative AI Should Include Repetition to Assess Stability

The Evaluation of Generative AI Should Include Repetition to Assess Stability

Authors of this article:

Lingxuan Zhu1 Author Orcid Image ;   Weiming Mou2 Author Orcid Image ;   Chenglin Hong1 Author Orcid Image ;   Tao Yang3 Author Orcid Image ;   Yancheng Lai1 Author Orcid Image ;   Chang Qi4 Author Orcid Image ;   Anqi Lin1 Author Orcid Image ;   Jian Zhang1 Author Orcid Image ;   Peng Luo1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Muntean G, Marginean A, Groza A, Damian I, Roman S, Hapca M, Sere A, Mănoiu R, Muntean M, Nicoară S. A Qualitative Evaluation of ChatGPT4 and PaLM2’s Response to Patient’s Questions Regarding Age-Related Macular Degeneration. Diagnostics 2024;14(14):1468 View
  2. Zhu L, Mou W, Luo P. Ensuring Safety and Consistency in Artificial Intelligence Chatbot Responses. JAMA Oncology 2024 View