[论文解读] A Review of ChatGPT Applications in Education, Marketing, Software Engineering, and Healthcare: Benefits, Drawbacks, and Research Directions

Mohammad Fraiwan, Natheer Khasawneh|arXiv (Cornell University)|Apr 29, 2023

Artificial Intelligence in Healthcare and Education被引用 58

一句话总结

本综述调查了 ChatGPT 及相关语言模型在教育、市场营销、软件工程和医疗保健领域的应用，重点指出其优势、局限性以及未来研究方向。

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.

研究动机与目标

• 通过概述自 2022 年 11 月以来先进语言模型（如 ChatGPT）出现及其影响来激发本研究。
• 调查 ChatGPT 在教育、市场营销、软件工程和医疗保健等领域的潜在应用。
• 讨论当前最先进语言模型的局限性和缺陷。
• 在每个应用领域确定有前景的未来研究方向。

提出的方法

• 综合现有对类似 ChatGPT 的模型及其能力的讨论。
• 按应用领域（教育、市场营销、软件工程、医疗保健）组织分析。
• 突出技术的优点与潜在滥用风险。
• 提出该领域未来研究与发展的方向。

实验结果

研究问题

• RQ1 在教育、市场营销、软件工程和医疗保健中，像 ChatGPT 这样的先进语言模型的潜在应用有哪些？
• RQ2 在这些领域中，当前语言模型的局限性和缺陷是什么？
• RQ3 为解决这些缺陷、释放有益应用，哪些未来研究方向最具前景？

主要发现

• ChatGPT 具有强大的能力，能够在多个领域彻底改变人与计算机的交互。
• 当前技术存在明显的滥用风险和局限性，需要谨慎考量。
• 本文概述了在教育、市场营销、软件工程和医疗保健领域的特定领域受益、缺点以及未来研究方向的建议。