Affiliation:
1. Department of Computer Science New Mexico Institute of Mining and Technology Socorro New Mexico USA
2. Department of Computer Science University of New Hampshire Durham New Hampshire USA
3. Department of Computer Science University of Maryland Baltimore County Baltimore Maryland USA
4. Department of Computer Science University of North Florida Jacksonville Florida USA
5. Department of Computer Science Military Institute of Science and Technology Dhaka Bangladesh
6. Department of Computer Science The International University of Scholars Dhaka Bangladesh
Abstract
AbstractThe 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 human‐like response generation, proficiency in professional exams, complex problem solving, and more, these models have captured interest. This study presents a comprehensive survey exploring and comparing 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 resource 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.
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