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From ELIZA to ChatGPT: A brief history of chatbots and their evolution
- 1 JIAXIANG FOREIGN LANGUAGES SCHOOL
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Abstract
Over the years, chatbots have grown to be used in a variety of industries. From their humble beginnings to their current prominence, chatbots have come a long way. From the earliest chatbot ELIZA in the 1960s to today’s popular Chatgpt, chatbot language models, codes, and databases have improved greatly with the advancement of artificial intelligence technology.This paper introduces the development of chatbots through literature review and theoretical analysis. It also analyzes and summarizes the advantages and challenges of chatbots according to the current status of chatbot applications and social needs. Personalized interaction will be an important development direction for chatbots, because providing personalized responses through user data analysis can provide users with a personalized experience, thus increasing user engagement and satisfaction.
Keywords
chatbots, ChatGPT, ELIZA
[1]. Weizenbaum, J. (1966). ELIZA—a computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36-45.
[2]. Zemčík, M. T. (2019). A brief history of chatbots. DEStech Transactions on Computer Science and Engineering, 10.
[3]. Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 100033.
[4]. Wu, T., He, S., Liu, J., Sun, S., Liu, K., Han, Q. L., & Tang, Y. (2023). A brief overview of ChatGPT: The history, status quo and potential future development. IEEE/CAA Journal of Automatica Sinica, 10(5), 1122-1136.
[5]. Elliott, C. A hybrid model for novel story generation using the Affective Reasoner and ChatGPT1.
[6]. Wagner, M. W., & Ertl-Wagner, B. B. (2023). Accuracy of information and references using ChatGPT-3 for retrieval of clinical radiological information. Canadian Association of Radiologists Journal, 08465371231171125.
[7]. Doshi, R., Amin, K., Khosla, P., Bajaj, S., Chheang, S., & Forman, H. P. (2023). Utilizing Large Language Models to Simplify Radiology Reports: a comparative analysis of ChatGPT3. 5, ChatGPT4. 0, Google Bard, and Microsoft Bing. medRxiv, 2023-06.
[8]. Teebagy, S., Colwell, L., Wood, E., Yaghy, A., & Faustina, M. (2023). Improved performance of ChatGPT-4 on the OKAP exam: A comparative study with ChatGPT-3.5. medRxiv, 2023-04.
[9]. BİR, E. K. V. B. İ., STRATEJİSİ, K. G. V. Y., & SETTLEMENTS, C. O. R. T. O. GSI JOURNALS SERIE B: ADVANCEMENTS IN BUSINESS AND ECONOMICS. GSI JOURNALS SERIE B: ADVANCEMENTS IN BUSINESS AND ECONOMICS Volume: 1 Issue, 1(1), 13.
[10]. Albayrak, N., Özdemir, A., & Zeydan, E. (2018, May). An overview of artificial intelligence based chatbots and an example chatbot application. In 2018 26th signal processing and communications applications conference (SIU) (pp. 1-4). IEEE.
Cite this article
Wang,K. (2024). From ELIZA to ChatGPT: A brief history of chatbots and their evolution. Applied and Computational Engineering,39,57-62.
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Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation
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