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ChatGPT vs. Bard: A Comparative Study
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  • Imtiaz Ahmed,
  • Ayon Roy,
  • Mashrafi Kajol,
  • Uzma Hasan,
  • Partha Protim Datta,
  • Md. Rokonuzzaman Reza
Imtiaz Ahmed
New Mexico Institute of Mining and Technology
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Ayon Roy
Military Institute of Science and Technology

Corresponding Author:[email protected]

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Mashrafi Kajol
University of New Hampshire
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Uzma Hasan
University of Maryland Baltimore County
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Partha Protim Datta
University of North Florida
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Md. Rokonuzzaman Reza
The International University of Scholars
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The rapid progress in conversational AI has given rise to advanced language models capable of generating human- like texts. Among these models, ChatGPT and Bard, developed by OpenAI and Google AI respectively, have gained significant attention. With their wide range of functionalities, such as hu- manlike response generation, proficiency in professional exams, complex problem-solving, and more, these models have captivated interest. This paper presents a comprehensive survey that explores and compares the capabilities and features of ChatGPT and Bard. We delve into their architectures, training methodologies, performance evaluations, and limitations across various domains. Ethical considerations such as biases and potential misconduct are also examined. Our findings highlight ChatGPT's exceptional performance, positioning it as a leading model. This survey is a vital re- source for scholars, innovators, and interested parties operating within the domain of conversational artificial intelligence, offering valuable insights for the advancement of cutting-edge language models. Join us as we uncover the potential of ChatGPT and Bard, paving the way for groundbreaking achievements in conversa- tional AI.
10 Jul 2023Submitted to Engineering Reports
13 Jul 2023Submission Checks Completed
13 Jul 2023Assigned to Editor
17 Jul 2023Review(s) Completed, Editorial Evaluation Pending
25 Jul 2023Reviewer(s) Assigned
18 Aug 2023Editorial Decision: Revise Major
05 Oct 20231st Revision Received
06 Oct 2023Submission Checks Completed
06 Oct 2023Assigned to Editor
06 Oct 2023Review(s) Completed, Editorial Evaluation Pending
09 Oct 2023Reviewer(s) Assigned