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In the rapidly evolving domain of artificial intelligence, chatbots haveemerged as a potent tool for various applications ranging from e-commerce tohealthcare. This research delves into the intricacies of chatbot technology,from its foundational concepts to advanced generative models like ChatGPT. Wepresent a comprehensive taxonomy of existing chatbot approaches, distinguishingbetween rule-based, retrieval-based, generative, and hybrid models. A specificemphasis is placed on ChatGPT, elucidating its merits for frequently askedquestions (FAQs)-based chatbots, coupled with an exploration of associatedNatural Language Processing (NLP) techniques such as named entity recognition,intent classification, and sentiment analysis. The paper further delves intothe customization and fine-tuning of ChatGPT, its integration with knowledgebases, and the consequent challenges and ethical considerations that arise.Through real-world applications in domains such as online shopping, healthcare,and education, we underscore the transformative potential of chatbots. However,we also spotlight open challenges and suggest future research directions,emphasizing the need for optimizing conversational flow, advancing dialoguemechanics, improving domain adaptability, and enhancing ethical considerations.The research culminates in a call for further exploration in ensuringtransparent, ethical, and user-centric chatbot systems.

Revolutionizing Customer Interactions: Insights and Challenges in Deploying ChatGPT and Generative Chatbots for FAQs