Artificial Intelligence and Humanities: Neural Networks in the Educational Practice of Universities

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The advantages and disadvantages of using text neural networks in education are considered. The specificity of humanitarian knowledge and its influence on the use of artificial intelligence systems are characterized. The results of the pilot research of five neural networks – GigaChat, YandexGPT, ChatGPT, DeepSeek and Gemini are presented. The results of the research can be used to improve the planning system and improve the quality of educational and methodological activities of teachers of the Moscow State Institute of Culture, as well as to improve the organization of research work and conduct interdepartmental and university-wide interdisciplinary research.

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Artificial intelligence, neural networks, machine learning, humanitarian knowledge, higher education, Moscow State Institute of Culture

Короткий адрес: https://sciup.org/144163539

IDR: 144163539   |   УДК: 378.1+004.8   |   DOI: 10.24412/1997-0803-2025-4126-167-182