dc.contributor.author | MARUSIC, Diana | |
dc.date.accessioned | 2024-12-08T09:42:34Z | |
dc.date.available | 2024-12-08T09:42:34Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | MARUSIC, Diana. TinyLlama-powered AI chatbot: transforming medical education for patients. In: Electronics, Communications and Computing (IC ECCO-2024): The conference program and abstract book: 13th intern. conf., Chişinău, 17-18 Oct. 2024. Technical University of Moldova. Chişinău: Tehnica-UTM, 2024, pp. 151-152. ISBN 978-9975-64-480-8 (PDF). | en_US |
dc.identifier.isbn | 978-9975-64-480-8 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/28790 | |
dc.description | Only Abstract | en_US |
dc.description.abstract | In the last two years, the rise of Large Language Models (LLMs) and Small Language Models (SLMs) has driven advancements in fields such as industry, education, and healthcare. For obvious reasons, medical practitioners will never be replaced by these language models; however, LLMs and SLMs can assist in ways such as aiding in diagnosing conditions, providing medical literature reviews and supporting patient communication and understanding of medical terms. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Technical University of Moldova | en_US |
dc.relation.ispartofseries | Electronics, Communications and Computing (IC ECCO-2024): 13th intern. conf., 17-18 Oct. 2024; | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | large language models | en_US |
dc.subject | small language models | en_US |
dc.subject | healthcare | en_US |
dc.subject | education | en_US |
dc.subject | artificial intelligence | en_US |
dc.subject | TinyLLama | en_US |
dc.title | TinyLlama-powered AI chatbot: transforming medical education for patients | en_US |
dc.type | Article | en_US |
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