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April 27, 2023289 citations

ChatGPT: Applications, Opportunities, and Threats

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ABAram BahriniMKMohammadsadra KhamoshifarHAHossein Abbasimehr

Key Points

  • To examine the applications, opportunities, and risks of ChatGPT across 10 main domains and compare the conversational performance of GPT-3.5 and GPT-4.
  • Reviewed existing literature covering ChatGPT applications across 10 distinct domains, focusing closely on business, industry, and education.
  • Conducted an experimental comparative analysis evaluating the conversational and task performance of GPT-3.5 against GPT-4.
  • GPT-4 demonstrated significantly better performance and response quality compared to GPT-3.5 across experimental tasks.
  • Despite robust natural language capabilities, the model lacks authentic human-level understanding, empathy, and creativity, limiting complete replacement of human roles.

Abstract

Developed by OpenAI, ChatGPT (Conditional Generative Pre-trained Transformer) is an artificial intelligence technology that is fine-tuned using supervised machine learning and reinforcement learning techniques, allowing a computer to generate natural language conversation fully autonomously. ChatGPT is built on the transformer architecture and trained on millions of conversations from various sources. The system combines the power of pre-trained deep learning models with a programmability layer to provide a strong base for generating natural language conversations. In this study, after reviewing the existing literature, we examine the applications, opportunities, and threats of ChatGPT in 10 main domains, providing detailed examples for the business and industry as well as education. We also conducted an experimental study, checking the effectiveness and comparing the performances of GPT-3.5 and GPT-4, and found that the latter performs significantly better. Despite its exceptional ability to generate natural-sounding responses, the authors believe that ChatGPT does not possess the same level of understanding, empathy, and creativity as a human and cannot fully replace them in most situations.

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Cite This Study

Bahrini et al. (2023) studied this question.

synapsesocial.com/papers/69d740cf5f9a1dad5348f9d2https://doi.org/10.1109/sieds58326.2023.10137850
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