Large Language Models for Cultural Heritage

Abstract

This research explores the potential applications of Generative Pre-trained Transformer (GPT) by OpenAI, a Large Language Model (LLM), in the realm of cultural heritage. It investigates GPT’s role as a digital storytelling machine that can be trained and guided to act as a museum guide and a recommender system for cultural spaces. LLM’s advanced language understanding capabilities make it an interactive guide, providing personalized and information to visitors about artworks and historical contexts. As a recommender system, GPT can offer tailored suggestions based on user preferences and past interactions, enhancing the visitor experience and encouraging exploration. It is a system extremely capable in handling language and with that power, it can act as a digital storytelling machine, creating immersive narratives that bring exhibits to life by weaving historical information with imaginative elements. The paper presents experiment results and evaluations, highlighting GPT’s potential to revolutionize visitor engagement in cultural spaces. However, ethical considerations and challenges associated with large language models in cultural contexts are also addressed, emphasizing the need for thoughtful implementation and ongoing evaluation to ensure inclusivity and accuracy while preserving cultural integrity.

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