Advancements in ChatGPT: A comparative analysis of accuracy and performance between versions 3.5 and 4.0
Department of Computer Science and Engineering, I.K.G. Punjab Technical University, Kapurthala, Punjab, India.
Research Article
World Journal of Advanced Engineering Technology and Sciences, 2024, 13(02), 360–371.
Article DOI: 10.30574/wjaets.2024.13.2.0580
Publication history:
Received on 12 October 2024; revised on 25 November 2024; accepted on 28 November 2024
Abstract:
The evolution of ChatGPT, particularly in its latest iteration, ChatGPT 4.0, showcases significant advancements in natural language processing and AI-driven conversational capabilities. This study compares the accuracy of ChatGPT 3.5 and ChatGPT 4.0 across a set of standardized questions, revealing notable differences in performance. ChatGPT 4.0 demonstrated a superior accuracy rate of 96%, correctly answering 48 out of 50 questions. In contrast, ChatGPT 3.5 achieved an accuracy rate of 82%, correctly answering 41 out of 50 questions. The improvements in ChatGPT 4.0 are particularly evident in its handling of mathematical, analytical, and reasoning questions, where it consistently outperformed its predecessor. These findings highlight the ongoing refinement of ChatGPT's abilities, particularly in complex cognitive tasks, which are critical for applications in education, customer service, and other domains requiring precise information retrieval and problem-solving. However, while the advancements are promising, they also underscore the need for ongoing attention to issues such as bias, privacy, and the ethical deployment of AI technologies. As ChatGPT continues to evolve, its integration into various sectors must be carefully managed to maximize benefits while mitigating potential risks, ensuring that AI serves as a positive force for innovation and societal advancement
Keywords:
ChatGPT; Personalized learning; Artificial intelligence; Adaptive learning; Academic integrity; Digital divide
Full text article in PDF:
Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0