A comprehensive survey of ChatGPT: Advancements, applications, prospects, and challenges

Anam Nazir, Ze Wang
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Abstract

Large Language Models (LLMs) especially when combined with Generative Pre-trained Transformers (GPT) represent a groundbreaking in natural language processing. In particular, ChatGPT, a state-of-the-art conversational language model with a user-friendly interface, has garnered substantial attention owing to its remarkable capability for generating human-like responses across a variety of conversational scenarios. This survey offers an overview of ChatGPT, delving into its inception, evolution, and key technology. We summarize the fundamental principles that underpin ChatGPT, encompassing its introduction in conjunction with GPT and LLMs. We also highlight the specific characteristics of GPT models with details of their impressive language understanding and generation capabilities. We then summarize applications of ChatGPT in a few representative domains. In parallel to the many advantages that ChatGPT can provide, we discuss the limitations and challenges along with potential mitigation strategies. Despite various controversial arguments and ethical concerns, ChatGPT has drawn significant attention from research industries and academia in a very short period. The survey concludes with an envision of promising avenues for future research in the field of ChatGPT. It is worth noting that knowing and addressing the challenges faced by ChatGPT will mount the way for more reliable and trustworthy conversational agents in the years to come.

ChatGPT的全面调查:进展、应用、前景和挑战
大型语言模型(LLM),尤其是与生成预训练转换器(GPT)相结合时,代表了自然语言处理的突破性进展。特别是,ChatGPT是一种具有用户友好界面的最先进的会话语言模型,由于其在各种会话场景中生成类人响应的卓越能力,它引起了人们的极大关注。这项调查对ChatGPT进行了概述,深入探讨了它的起源、演变和关键技术。我们总结了支持ChatGPT的基本原则,包括它与GPT和LLM一起引入。我们还强调了GPT模型的具体特征,详细介绍了它们令人印象深刻的语言理解和生成能力。然后,我们总结了ChatGPT在几个有代表性的领域中的应用。除了ChatGPT可以提供的许多优势外,我们还讨论了其局限性和挑战以及潜在的缓解策略。尽管存在各种有争议的论点和伦理问题,但ChatGPT在很短的时间内引起了研究行业和学术界的极大关注。该调查最后展望了未来在ChatGPT领域进行研究的有希望的途径。值得注意的是,了解并解决ChatGPT面临的挑战将为未来几年更可靠、更值得信赖的对话代理铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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