Evaluating the Efficacy of ChatGPT in Different Domains: Customer Support vs. Educational Assistance

Abstract

ChatGPT performs with striking contrasts regarding customer service and education, lessons learned in why that is the way it is, how the study uses it, and what the study can do to improve this. ChatGPT is excellent for customer support and the response to the common questions it was built on may be fast and accurate. This is to help both users and resolve issues. Each day’s work is treated as quality, however, when demonstrating more troublesome or irregular problems it comes up short. If the study were to improve this cloud function by making it better at handling complex queries and sounding a lot more human, the study chatbot could perform much better in this and many other domains. But it’s usually wrong and users have reported mixed outcomes. This research proposes how challenging it can be to communicate complex concepts and relate to diverse learning styles. This research will improve ChatGPT for support and as an assistant in each context where it is used. The next target of improvement is to solve the lack of contextual helping experience for ChatGPT users. This paper is crucial in informing how the study might cautiously break conversational AI and indeed future engagements with technology beyond dominant use cases and shaped towards inclusive models that stand to have a significantly positive impact on human lives.

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