Employing Generative Artificial Intelligence in Replacement of Traditional Backend Systems

This paper investigates the application and benefits of using Generative Artificial Intelligence (GenAI) techniques, with an emphasis on large language models (LLMs) as an innovative approach in the development of information systems. The focus lies primarily on systems employing open datasets where data confidentiality is not a focal concern. By replacing the traditional programmed logic with these advanced AI models, this paper presents the measurable improvements in the efficiency and adaptability of system design, development, and maintenance. The key advantages discussed include an enhanced rate and accuracy in query processing and response provision. Despite accentuating these substantial benefits, the paper acknowledges potential limitations with the alignment of these models to certain user-specific needs. A noteworthy component of this study includes an in-depth exploration of Large Language Models usage and its implications in system interactivity and personalisation realms. The results suggest that the implementation of LLMs not only ensures precise and contextually relevant responses to user queries, but it also contributes to a significant reduction in time and resources expended during system design and development phases. Thus, replacing standard programmed logic with LLMs in systems utilizing open datasets accelerates the development timeline, simplifies maintenance procedures and boost the overall dynamism of the system.