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Leveraging deep learning, LLM capabilities have been advanced significantly, giving rise to generative chatbots such as Generative Pre\u2010trained Transformer (GPT). GPT\u20101 was initially released by OpenAI in 2018. ChatGPT's release in 2022 marked a global record of speed in technology uptake, attracting more than 100 million users in two months. Consequently, the utility of LLMs in fields including engineering, healthcare, and education has been explored. The potential of LLM\u2010based chatbots in higher education has sparked significant interest and ignited debates. LLMs can offer personalized learning experiences and advance asynchronized learning, potentially revolutionizing higher education, but can also undermine academic integrity. Although concerns regarding AI\u2010generated output accuracy, the spread of misinformation, propagation of biases, and other legal and ethical issues have not been fully addressed yet, several strategies have been implemented to mitigate these limitations. Here, the development of LLMs, properties of LLM\u2010based chatbots, and potential applications of LLM\u2010based chatbots in higher education are discussed. Current challenges and concerns associated with AI\u2010based learning platforms are outlined. The potentials of LLM\u2010based chatbot use in the context of learning experiences in higher education settings are explored.<\/jats:p>","DOI":"10.1002\/aisy.202400429","type":"journal-article","created":{"date-parts":[[2024,8,11]],"date-time":"2024-08-11T21:43:15Z","timestamp":1723412595000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":80,"title":["Large Language Model\u2010Based Chatbots in Higher Education"],"prefix":"10.1002","volume":"7","author":[{"given":"Defne","family":"Yigci","sequence":"first","affiliation":[{"name":"School of Medicine Ko\u00e7 University  34450 Istanbul Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Merve","family":"Eryilmaz","sequence":"additional","affiliation":[{"name":"Department of Electrical &amp; Computer Engineering University of California Los Angeles (UCLA)  Los Angeles CA 90095 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ail K.","family":"Yetisen","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering Imperial College London  London SW7 2AZ UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8888-6106","authenticated-orcid":false,"given":"Savas","family":"Tasoglu","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering Ko\u00e7 University  34450 Sariyer Istanbul Turkey"},{"name":"Physical Intelligence Department Max Planck Institute for Intelligent Systems  70569 Stuttgart Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0717-683X","authenticated-orcid":false,"given":"Aydogan","family":"Ozcan","sequence":"additional","affiliation":[{"name":"Department of Electrical &amp; Computer Engineering University of California Los Angeles (UCLA)  Los Angeles CA 90095 USA"},{"name":"California NanoSystems Institute (CNSI) University of California Los Angeles (UCLA)  Los Angeles CA USA"},{"name":"Department of Bioengineering University of California Los Angeles (UCLA)  Los Angeles CA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,8,11]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2021.10.009"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00146-021-01294-x"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2017.03.003"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/adsr.202300109"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1349"},{"key":"e_1_2_9_7_1","unstructured":"B. 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