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TinyLlama-powered AI chatbot: transforming medical education for patients

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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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  • 2024
    The 13th International Conference on Electronics, Communications and Computing (IC ECCO-2024)

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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