How Generative-AI can be Effectively used in Government Chatbots

TL;DR

This paper compares government chatbots and large language models like ChatGPT and Wenxin Ernie, analyzing their strengths, weaknesses, and potential optimization paths for effective use in government services.

Contribution

It provides a comparative analysis of government chatbots and large language models, highlighting gaps and proposing targeted optimization strategies for better application in government.

Findings

Government chatbots are still in exploratory stages in China.

Large language models outperform traditional government chatbots in several aspects.

Proposed optimization paths aim to enhance AI effectiveness in government chatbots.

Abstract

With the rapid development of artificial intelligence and breakthroughs in machine learning and natural language processing, intelligent question-answering robots have become widely used in government affairs. This paper conducts a horizontal comparison between Guangdong Province's government chatbots, ChatGPT, and Wenxin Ernie, two large language models, to analyze the strengths and weaknesses of existing government chatbots and AIGC technology. The study finds significant differences between government chatbots and large language models. China's government chatbots are still in an exploratory stage and have a gap to close to achieve "intelligence." To explore the future direction of government chatbots more deeply, this research proposes targeted optimization paths to help generative AI be effectively applied in government chatbot conversations.