This article delves into the intricacies of chatbot technology, from foundational concepts to advanced generative models like ChatGPT. It presents a comprehensive taxonomy of chatbot approaches and emphasizes on ChatGPT for FAQs-based chatbots. The paper explores associated Natural Language Processing (NLP) techniques like named entity recognition, intent classification, and sentiment analysis. It also discusses the customization and fine-tuning of ChatGPT, its integration with knowledge bases, and the consequent challenges and ethical considerations. The research underscores the transformative potential of chatbots in domains like online shopping, healthcare, and education, but also highlights open challenges and suggests future research directions.
Publication date: 17 Nov 2023
Project Page: Not Provided
Paper: https://arxiv.org/pdf/2311.09976
