Prospects for Applying Artificial Intelligence Technologies by Public Libraries of Ukraine

Abstract

The aim of the article is to study prospects for the artificial intelligence technologies usage by public libraries of Ukraine in conditions of digital transformation of society. Research methods. General scientific research methods are used, in particular, analysis and generalisation of possibilities of language prognostication models based on neural networks in the activity of Ukrainian public libraries. The scientific novelty of the obtained results consists in actualising the problem of using ChatGPT 3.5, Gemini, Microsoft Bing and Grok technologies in the library sphere, and outlining the key possibilities of using these language models of artificial intelligence among public libraries. The usage of new generation chatbots for interacting with users of public libraries, searching the information and generating content are actively gaining popularity, moving from theory to practical level. Linguistic models of neural networks are used to create marketing campaigns, analysis and familiarisation with the content of works and archival materials, interaction with library users, and finding answers to professional questions. Main conclusions. The potential of language prognostication models based on neural networks in the practical activity of public libraries is analysed. By means of the analysis of ChatGPT 3.5, Gemini, Bing Chat and Grok technologies, and their usage in the library sphere, the main potential possibilities of interaction of information institution employees with these technologies are determined. In particular, the integration of ChatGPT functions through API into the system of public libraries will allow to optimise searching the information in the database and and feedback opportunities with library users. Using the ChatGPT 3.5 neural network service will speed up the development of a marketing content plan, instructions, as well as automate book recommendations based on the analysis of the readers’ preferences and books read. It is found out that the methods of implementing innovative models can allow not only to qualitatively improve the service of public libraries users, but also to automate their work in order to optimise the performance of everyday tasks, preserve cultural heritage and access to digital resources. In the future, the level of deepening the involvement of these technologies will inevitably grow. The sooner library institutions start using neural networks in everyday practice, the sooner they will be able to facilitate the work of library sphere workers, provide improved users’ service, and increase the effectiveness of library marketing support. It is emphasised that experiments on the use of artificial intelligence language models still need an empirical research method. Particularly, they require attention not only from the point of view of usage for personal purposes, but also in the professional activity of the library sphere.