Authors:
Abeer A. Amer, Heba S. Konswah
Addresses:
Department of Computer Science and Information Systems, Faculty of Management Science, Sadat Academy for Management and Sciences, Cairo, Cairo Governorate, Egypt. Department of Information Systems and Computers, Faculty of Business, Alexandria University, Alexandria, Alexandria Governorate, Egypt.
Abstract:
Because these tools are being developed at such a rapid pace, it is essential to have a complete understanding of the capabilities and limitations of technologies that make use of generative artificial intelligence. To produce natural-language responses to human inquiries that are relevant to the context in which they are asked, technologies that use generative artificial intelligence, such as ChatGPT, are developed. In light of this, the objective of this article is to present a comparative analysis of the most important artificial intelligence tools for generative applications. Within the context of the paper, ChatGPT and its performance compared to Bard, Claude, and Gemini receive some attention. In order to test these models across a wide range of important activities, including code generation, natural language interpretation, and ethical reasoning, researchers use a predetermined set of difficult prompts. The outcomes of our research indicate considerable disparities in performance across these activity categories. These modifications highlight the advantages and disadvantages of each model, as well as potential ways to further grow.
Keywords: Artificial Intelligence (AI); Generative AI; Natural Language Processing; AI Tools; Comparative Study; Open AI; Chatbot and ChatGPT; Recurrent Neural Networks; Large Language Models.
Received: 03/12/2024, Revised: 24/03/2025, Accepted: 05/05/2025, Published: 09/09/2025
DOI: 10.64091/ATICS.2025.000200
AVE Trends in Intelligent Computing Systems, 2025 Vol. 2 No. 3 , Pages: 174-183