Research on Tibetan Tourism Viewpoints information generation system based on LLM
arXiv:2407.13561 · doi:10.1109/ICWOC62055.2024.10684948
Abstract
Tibet, ensconced within China's territorial expanse, is distinguished by its labyrinthine and heterogeneous topography, a testament to its profound historical heritage, and the cradle of a unique religious ethos. The very essence of these attributes, however, has impeded the advancement of Tibet's tourism service infrastructure, rendering existing smart tourism services inadequate for the region's visitors. This study delves into the ramifications of informational disparities at tourist sites on Tibetan tourism and addresses the challenge of establishing the Large Language Model (LLM) evaluation criteria. It introduces an innovative approach, the DualGen Bridge AI system, employing supervised fine-tuning techniques to bolster model functionality and enhance optimization processes. Furthermore, it pioneers a multi-structured generative results assessment framework. Empirical validation confirms the efficacy of this framework. The study also explores the application of the supervised fine-tuning method within the proprietary DualGen Bridge AI, aimed at refining the generation of tourist site information. The study's findings offer valuable insights for optimizing system performance and provide support and inspiration for the application of LLM technology in Tibet's tourism services and beyond, potentially revolutionizing the smart tourism industry with advanced, tailored information generation capabilities.
References in corpus (7)
- Training language models to follow instructions with human feedback
- LoRA: Low-Rank Adaptation of Large Language Models
- A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI
- COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
- Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
- Question Suggestion for Conversational Shopping Assistants Using Product Metadata
- Octopus: On-device language model for function calling of software APIs