A fine-tuned tourism-specific generative AI concept

Cathy H.C. Hsu; Guoxiong Tan; Bela Stantic

doi:10.1016/j.annals.2023.103723

A fine-tuned tourism-specific generative AI concept

Cathy H.C. Hsu, Guoxiong Tan, Bela Stantic

Research output: Journal article publication › Journal article › Academic research › peer-review

7 Citations (Scopus)

Abstract

Since the unveiling of ChatGPT in November 2022, scholars have used it for research and discussed opportunities and challenges of applying Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) by the tourism industry and tourists. While ChatGPT and other LLMs hold great potential to facilitate research, tourist experience, and industry operations, they have many shortcomings. Based on a reflective literature review, this article illustrates the need for a tourism-specific LLM and proposes a blueprint of a tourism-specific GenAI concept to guide its design.

Original language	English
Article number	103723
Journal	Annals of Tourism Research
Volume	104
Early online date	5 Jan 2024
DOIs	https://doi.org/10.1016/j.annals.2023.103723
Publication status	Published - Jan 2024

Keywords

AI ethics
ChatGPT
Fine-tuning
Generative AI
Large language model

ASJC Scopus subject areas

Business and International Management
Development
Tourism, Leisure and Hospitality Management
Marketing

More information

10.1016/j.annals.2023.103723

http://hdl.handle.net/10397/107064

Cite this

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A fine-tuned tourism-specific generative AI concept

Abstract

Keywords

ASJC Scopus subject areas

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