TITLE
APPLICATION OF LARGE LANGUAGE MODELS AND NATURAL LANGUAGE UNDERSTANDING IN MULTI-AGENT TOURIST GUIDE FOR GABROVO
AUTHOR(S)
Iliya Iliev Nedelchev
ABSTRACT
This paper explores the integration of Large Language Models (LLM) and Natural Language Understanding (NLU) within a multi-agent tourist guide for Gabrovo. In the context of the digital transformation of the tourism industry, this study examines how advanced NLP technologies enhance the tourist experience. The multi-agent tourist guide, powered by LLM and NLU, delivers personalized recommendations, historical insights, and real-time assistance to travelers. This research emphasizes the transformative potential of these technologies in tourism by fostering engagement, promoting cultural immersion, and streamlining navigation. Furthermore, the study highlights the broader implications of AI-driven language models and understanding in preserving cultural heritage. By harnessing LLM and NLU, this tourist guide redefines exploration in Gabrovo and symbolizes a shift in how individuals connect with cultural legacies worldwide. In essence, this paper underscores the significant impact of technology in reshaping multi-agent tourist guides, enriching traveler experiences, and preserving cultural identities in destinations such as Gabrovo.
DOI
PAGES
138-143
DOWNLOAD
https://unitechsp.tugab.bg/images/2023/4-KS/s5_p15_v1.pdf
How to cite this article:
Iliya Iliev Nedelchev, APPLICATION OF LARGE LANGUAGE MODELS AND NATURAL LANGUAGE UNDERSTANDING IN MULTI-AGENT TOURIST GUIDE FOR GABROVO, Proceedings of International Scientific Conference “UNITECH 2023” – Gabrovo, 138-143