International Journal of Information Technology, Год журнала: 2024, Номер unknown
Опубликована: Дек. 21, 2024
Язык: Английский
International Journal of Information Technology, Год журнала: 2024, Номер unknown
Опубликована: Дек. 21, 2024
Язык: Английский
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Янв. 27, 2025
Язык: Английский
Процитировано
0Computers & Electrical Engineering, Год журнала: 2025, Номер 123, С. 110146 - 110146
Опубликована: Фев. 11, 2025
Язык: Английский
Процитировано
0Applied Sciences, Год журнала: 2024, Номер 14(18), С. 8259 - 8259
Опубликована: Сен. 13, 2024
Integrating Large Language Models (LLMs) into e-government applications has the potential to improve public service delivery through advanced data processing and automation. This paper explores critical aspects of a modular reproducible architecture based on Retrieval-Augmented Generation (RAG) for deploying LLM-based assistants within systems. By examining current practices challenges, we propose framework ensuring that Artificial Intelligence (AI) systems are reproducible, essential maintaining scalability, transparency, ethical standards. Our approach utilizing Haystack demonstrates complete multi-agent Generative AI (GAI) virtual assistant facilitates scalability reproducibility by allowing individual components be independently scaled. research focuses comprehensive review existing literature presents case study examples demonstrate how such an can enhance operations. provides valuable researchers, policymakers, practitioners interested in exploring integration computational linguistics LLMs services, although it could benefit from further empirical validation.
Язык: Английский
Процитировано
2IEEE Access, Год журнала: 2024, Номер 12, С. 111942 - 111942
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0International Journal of Information Technology, Год журнала: 2024, Номер unknown
Опубликована: Дек. 21, 2024
Язык: Английский
Процитировано
0