This paper presents a comprehensive survey of ChatGPT and GPT-4, state-of-the-art large language models (LLM) from the GPT series, and their prospective applications across diverse domains. Indeed, key innovations such as large-scale pre-training that captures knowledge across the entire world wide web, instruction fine-tuning and Reinforcement Learning from Human Feedback (RLHF) have played significant roles in enhancing LLMs' adaptability and performance. We performed an in-depth analysis of 194 relevant papers on arXiv, encompassing trend analysis, word cloud representation, and distribution analysis across various application domains. The findings reveal a significant and increasing interest in ChatGPT/GPT-4 research, predominantly centered on direct natural language processing applications, while also demonstrating considerable potential in areas ranging from education and history to mathematics, medicine, and physics. This study endeavors to furnish insights into ChatGPT's capabilities, potential implications, ethical concerns, and offer direction for future advancements in this field.

翻译：本文全面综述了ChatGPT与GPT-4——GPT系列中最先进的大语言模型（LLM）——及其在多个领域的潜在应用。事实上，诸如覆盖全球互联网知识的大规模预训练、指令微调以及基于人类反馈的强化学习（RLHF）等关键创新，显著提升了LLM的适应性和性能。我们对arXiv上194篇相关论文进行了深入分析，涵盖趋势分析、词云表示以及各应用领域的分布分析。研究结果表明，对ChatGPT/GPT-4的研究兴趣显著且持续增长，主要集中在直接的自然语言处理应用上，同时在教育、历史、数学、医学和物理学等领域也展现出巨大潜力。本研究旨在深入剖析ChatGPT的能力、潜在影响及伦理问题，并为该领域的未来发展提供方向指引。