원문정보
A Study on the Service Integration of Traditional Chatbot and ChatGPT
초록
한국어
This paper proposes a method of integrating ChatGPT with traditional chatbot systems to enhance conversational artificial intelligence(AI) and create more efficient conversational systems. Traditional chatbot systems are primarily based on classification models and are limited to intent classification and simple response generation. In contrast, ChatGPT is a state-of-the-art AI technology for natural language generation, which can generate more natural and fluent conversations. In this paper, we analyze the business service areas that can be integrated with ChatGPT and traditional chatbots, and present methods for conducting conversational scenarios through case studies of service types. Additionally, we suggest ways to integrate ChatGPT with traditional chatbot systems for intent recognition, conversation flow control, and response generation. We provide a practical implementation example of how to integrate ChatGPT with traditional chatbots, making it easier to understand and build integration methods and actively utilize ChatGPT with existing chatbots.
목차
1. 서론
2. 이론적 배경
2.1 전통적인 챗봇
2.2 ChatGPT
3. 연구 방법
3.1 ChatGPT와 연계 서비스 유형
3.2 ChatGPT와 전통적인 챗봇의 연계절차
3.3 ChatGPT와 전통적인 챗봇의 연계 시나리오
4. 적용방안 및 사례연구
4.1 전통적인챗봇과 ChatGPT 연계설정
4.2 구현 결과
5. 결론 및 논의
References