Zijian Zeng, Kurunathan Ratnavelu, "Deep Learning-driven Enhancement of Chatbot Interaction: A Comprehensive Study on ChatGLM," WSEAS Transactions on Computer Research, vol. 12, pp. 377-383, 2024, DOI:10.37394/232018.2024.12.37
Zijian Zeng, Kurunathan Ratnavelu. Deep Learning-driven Enhancement of Chatbot Interaction: A Comprehensive Study on ChatGLM.
WSEAS Transactions on Computer Research. 2024;12:377-383. 10.37394/232018.2024.12.37
WSEAS Transactions on Computer Research
Print ISSN: 1991-8755, E-ISSN: 2415-1521
Volume 12, 2024
Deep Learning-driven Enhancement of Chatbot Interaction: A Comprehensive Study on ChatGLM
Authors: ,
Abstract: In the contemporary digital landscape, ChatGLM, powered by advanced artificial intelligence, has risen as a tour de force, particularly excelling in Chinese Q&A scenarios. Its prominence underscores the transformative role of deep learning neural networks in reshaping the chatbot paradigm. This paper offers a holistic exploration of chatbot model designs, building upon seminal research, and delves into the nuances of chatbot development and underlying technologies. We provide incisive analyses poised to guide future advancements in chatbot-related arenas.
Keywords:
ChatGLM, chatbot, intelligence, deep learning, neural networks, interaction design, Social Characteristics
Pages: 377-383 WSEAS Transactions on Computer Research, ISSN / E-ISSN: 1991-8755 / 2415-1521, Volume 12, 2024, Art. #37 DOI: 10.37394/232018.2024.12.37
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