Large language models have been demonstrated to be valuable in different fields. ChatGPT, developed by OpenAI, has been trained using massive amounts of data and simulates human conversation by comprehending context and generating appropriate responses. It has garnered significant attention due to its ability to effectively answer a broad range of human inquiries, with fluent and comprehensive answers surpassing prior public chatbots in both security and usefulness. However, a comprehensive analysis of ChatGPT's failures is lacking, which is the focus of this study. Ten categories of failures, including reasoning, factual errors, math, coding, and bias, are presented and discussed. The risks, limitations, and societal implications of ChatGPT are also highlighted. The goal of this study is to assist researchers and developers in enhancing future language models and chatbots.
翻译：大型语言模型在不同领域被证明是有价值的,OpenAI公司开发的ChatGPT, 已经通过理解背景和提出适当答复,接受了大量数据和模拟人类对话的培训,由于它能够有效回答广泛的人类调查,在安全和实用方面流畅和全面的答案超过了以前的公共聊天室,因此引起了极大关注,然而,对于ChatGPT的失败缺乏全面分析,而这正是本研究的重点。提出和讨论了十类失败,包括推理、事实错误、数学、编码和偏见。还突出了ChatGPT的风险、局限性和社会影响。这项研究的目的是协助研究人员和开发人员加强未来的语言模型和聊天室。
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