A Review of ChatGPT Applications in Education, Marketing, Software Engineering, and Healthcare: Benefits, Drawbacks, and Research Directions

TL;DR

This paper reviews ChatGPT's applications across education, marketing, software engineering, and healthcare, highlighting benefits, drawbacks, and future research directions in these fields.

Contribution

It provides a comprehensive overview of ChatGPT's diverse applications, limitations, and future research avenues in multiple professional domains.

Findings

ChatGPT has transformative potential in various fields.

Current limitations include ethical concerns and technological challenges.

Future research should focus on addressing misuse and improving model robustness.

Abstract

ChatGPT is a type of artificial intelligence language model that uses deep learning algorithms to generate human-like responses to text-based prompts. The introduction of the latest ChatGPT version in November of 2022 has caused shockwaves in the industrial and academic communities for its powerful capabilities, plethora of possible applications, and the great possibility for abuse. At the time of writing this work, several other language models (e.g., Google Bard and Meta LLaMA) just came out in an attempt to get a foothold in the vast possible market. These models have the ability to revolutionize the way we interact with computers and have potential applications in many fields, including education, software engineering, healthcare, and marketing. In this paper, we will discuss the possible applications, drawbacks, and research directions using advanced language Chatbots (e.g., ChatGPT) in each of these fields. We first start with a brief introduction and the development timeline of artificial intelligence based language models, then we go through possible applications of such models, after that we discuss the limitations and drawbacks of the current technological state of the art, and finally we point out future possible research directions.