Deep Learning-driven Enhancement of Chatbot Interaction: A Comprehensive Study on ChatGLM

作者：Zijian Zeng, Kurunathan Ratnavelu · 发表于：WSEAS TRANSACTIONS ON COMPUTER RESEARCH · 年份：2024 · DOI：10.37394/232018.2024.12.37 · 被引用次数：1 · 研究领域：AI in Service Interactions、Social Robot Interaction and HRI、Ethics and Social Impacts of AI

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.