ChatGPT作为重要的未来支持工具的时代:对特性、能力和挑战的研究

Abid Haleem , Mohd Javaid , Ravi Pratap Singh
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引用次数: 112

摘要

开放人工智能(AI)于2022年11月底发布了一款名为ChatGPT的人工智能聊天机器人工具。生成式预训练转换器(GPT)架构是ChatGPT的基础。在互联网上,ChatGPT一直在迅速发展。这款聊天机器人基于OpenAI的语言模型,用户可以通过输入提示与AI进行讨论。尽管ChatGPT非常棒,并且在写故事、诗歌、歌曲、散文和其他东西时产生了令人兴奋的结果,但它有一定的限制。用户可以向机器人提问,机器人会给出相关的、令人信服的主题和回答。ChatGPT现在已经上升到几个学术议程的首位。管理员创建任务小组,并举行机构范围的会议来对这些工具作出反应,大多数建议是采用这种技术。本文简要介绍了ChatGPT及其需求。此外,还以图表形式说明了ChatGPT工具的各种渐进式工作流过程。本文对ChatGPT支持系统的具体特点和功能进行了研究。最后,我们确定并讨论了ChatGPT在当前场景中的重要作用。构成角色AI基础的神经语言模型是在考虑对话的情况下自下而上开发的。这项技术意味着该程序使用深度学习方法来分析和生成文本。该模型利用来自互联网的大量数据,“理解”人类产生的自然语言的微妙之处。
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An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges

Open Artificial Intelligence (AI) published an AI chatbot tool called ChatGPT at the end of November 2022. Generative Pre-trained Transformer (GPT) architecture is the foundation of ChatGPT. On the internet, ChatGPT has been rapidly growing. This chatbot enables users to discuss with the AI by inputting prompts, and it is based on OpenAI’s language model. Although ChatGPT is fantastic and produces exciting results for writing tales, poetry, songs, essays, and other things, it has certain restrictions. Users may ask the bot questions, and it will reply with pertinent, convincing subjects and replies. ChatGPT has now risen to the top of several academic agendas. Administrators create task teams and hold institution-wide meetings to react to the tools, with most of the advice being to adopt this technology. This paper briefs about the ChatGPT and its need. Further, various Progressive Work Flow Processes of the ChatGPT Tool are stated diagrammatically. Specific features and capabilities of the ChatGPT Support System are studied in this paper. Finally, we identified and discussed the significant roles of ChatGPT in the current scenario. The neural language models that form the foundation of character AI have been developed from the bottom up with talks in mind. This technology implies that the programme uses deep learning methods to analyse and produce text. The model “understands” the subtleties of human-produced natural language using vast amounts of data from the internet.

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