An Evaluation of General-Purpose AI Chatbots: A Comprehensive Comparative Analysis

Abstract

This article presents a thorough examination of eight state-of-the-art AI chatbots that are designed for general use. Through detailed descriptions and empirical research, which include the use of confusion matrices and a pairwise comparison methodology, the study systematically assesses these chatbots based on eight specific criteria. The main objective of this research is to pinpoint the most efficient AI chatbot for general purposes, thereby providing invaluable insights for both users and developers within the AI industry. By utilizing the results of this study, developers can gain access to crucial information and actionable recommendations that help in enhancing the performance of their chatbots. Furthermore, these findings act as a vital resource for budding developers who are venturing into the creation of their own chatbot projects. In a rapidly evolving technological landscape, where AI is increasingly infiltrating various aspects of daily life, such detailed evaluations play a crucial role. They guide both users and developers towards selecting and developing AI chatbots that are not just effective, but also user-friendly and adaptable to the shifting needs and preferences of their user base.

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