Improve Information Service Capabilities from Content Aggregation to Knowledge Provision with Generative Pre-trained Transformer (GPT)
Yu Li, Pei Bohao, Qiang Yu, Zhang Wei · 2023
The exponential growth of data and information has led to unprecedented opportunities and challenges in processing, analyzing, and utilizing this vast amount of knowledge. Nowadays, with the emerging and evolving of some novel strong Artificial Intelligence (AI) technologies, especially GPT (short for Generative Pre-trained Transformer), it suddenly becomes possible for traditional information providers (such as Libraries, Data Intelligence Service Centers) to conduct business from resource and content aggregation to high-level knowledge provision. After analyzing the status of information businesses and mechanism of GPT, in this article, several possible changes and some corresponsive measures to achieve a higher intelligent level of knowledge service for traditional information providers are mainly discussed in depth. It's expected that such exploration will provide meaningful reference for facilitating the intelligent development of traditional information services.