Jyh-Gang Hsieh, Jui-Hung Yu, Ying-Wei Wang, Mi-Hsiu Wei, Mei-Chuan Chang, Chao-Chun Wu, Shu-Li Chia
Health literacy training program for community healthcare providers using hybrid online team-based learning in Taiwan
BMC medical education
study aims explore chatgpts gpt35 version functionalities including reinforcement learning diverse applications limitations chatgpt artificial intelligence ai chatbot powered openais generative pretrained transformer gpt model chatbots applications span education programming content generation demonstrating versatility chatgpt improve education creating assignments offering personalized feedback shown notable performance medical exams united states medical licensing exam however concerns include plagiarism reliability educational disparities aids various research tasks design writing shown proficiency summarizing suggesting titles use scientific writing language translation promising professional oversight needed accuracy originality assists programming tasks like writing code debugging guiding installation updates offers diverse applications cheering individuals generating creative content like essays news articles business plans unlike search engines chatgpt provides interactive generative responses understands context making akin human conversation contrast conventional search engines keywordbased noninteractive nature chatgpt limitations potential bias dependence outdated data revenue generation challenges nonetheless chatgpt considered transformative ai tool poised redefine future generative technology conclusion advancements ai chatgpt altering knowledge acquired applied marking shift search engines creativity engines transformation highlights increasing importance ai literacy ability effectively utilize ai various domains life