Research on Large Model-Based Information Processing Technology and Its Application in Local Life in Macau

This study focuses on advancing the informatization of Macau's tourism sector through Large Language Model (LLM) technology, aiming to deliver precise and efficient travel services to both locals and visitors. A localized information repository has been established, consolidating public service data such as transportation, accommodation, dining, and sanitation facilities. By applying Natural Language Processing (NLP) techniques, particularly Text-to-SQL, the research facilitates the automatic translation of natural language queries into SQL queries, streamlining interactions with databases. Moreover, intelligent agent technology has been utilized to manage complex queries and enhance tourism planning and recommendations. The study employs a Retrieval-Augmented Generation (RAG) model to mitigate information bias and address the “hallucination” issue often encountered in large models, thereby boosting the precision of information retrieval.