Электронный каталог

Статья

Skulskiy, Yu.
Adaptive Automated Response System for Virtual Computer Lab and LMS Moodle Using LLM, RAG, and Serverless Architecture / Yu.Skulskiy, Ye.Mazhitova, A.Nechaevsky, [a.o.] // Физика элементарных частиц и атомного ядра. – 2026. – Т. 57, № 4. – P. 579. – URL: https://www1.jinr.ru/Pepan/v-57-4/Skulskiy_ann.pdf.

An adaptive automated response system for Virtual Computer Lab and LMS Moodle is presented, leveraging Retrieval-Augmented Generation (RAG), a finetuned Llama (or Gemma, Qwen, etc.) model, and serverless architecture. Integrated with Moodle and Supabase, it delivers context-aware responses tailored to user roles (student, instructor, administrator). A self-learning mechanism driven by feedback enhances response accuracy and reducing technical support workload. An interactive interface with custom widgets improves user experience.



Спец.(статьи,препринты) = Ц 849 а - Экспертные системы
ОИЯИ = ОИЯИ (JINR)2026