Comparative analysis of artificial intelligence based on existing chatbots

Abstract

Today, artificial intelligence (AI) is rapidly gaining popularity in various sectors, including the corporate world, business circles, and people's daily lives. The application of artificial intelligence in such fields as medicine, banking and government structures is becoming more frequent. Artificial intelligence facilitates data processing, as it occurs without the intervention of human labor and usually ensures the accuracy of the tasks performed. According to statistics, the number of companies using artificial intelligence in their operations is increasing, and many organizations consider artificial intelligence as an important technology to achieve competitive advantage. This scientific study presents a comprehensive analysis of two leading artificial intelligence systems – ChatGPT-4 from the OpenAI company and Bard from the Google AI company. The work also provides an overview of the development of artificial intelligence in various fields and its impact on everyday human life, especially in such vital areas as medicine, finance, public administration, etc. The paper delves into a detailed comparison of different versions of ChatGPT (GPT-3 and GPT-4) by discussing and analyzing their capabilities, improvements, and limitations. The article also discusses the integration of the Bard system with Google services, its unique functionality and recent updates. The purpose of this study is to compare the capabilities of the artificial intelligence systems ChatGP-4T and Bard, highlight their strengths and weaknesses, as well as their practical application. The paper presents the results of comparative testing to evaluate the performance of each model (system) in various tasks, including solving a logical task, writing an essay, analyzing with subsequent suggestions for improving the web-site, and writing HTML/CSS code for a web-page. The results highlight the fact that, despite the recognized advantages of these models, their functional characteristics may sometimes be limited or not meet expectations when performing specific tasks and the choice of system (model) will be adjusted depending on the needs of users.