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

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arxiv 2305.00237 v1 pith:5BC7FURL submitted 2023-04-29 cs.CY cs.AI

classification cs.CYcs.AI
keywords applicationspossiblechatgptlanguagemodelsdirectionsdrawbacksresearch
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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.

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  1. Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription

    cs.CL 2025-02 conditional novelty 4.0 of 10

    Open LLMs (LLaMA-2, LLaMA-3, Mistral, Meditron) roughly match GPT-4 on a 25-patient prescription-suitability check when given SmPC context via RAG, though some interaction classes degrade with RAG.

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