(2019). Cross-lingual language model pretraining. Advances in Neural Information Processing Systems, 30, 7059-7069. 周志华. (2016). 机器学习. 清华大学出版社. 以上参考文献提供了ChatGPT在中文自然语言处理领域的相关技术和应用细节,可以帮助读者深入了解该领域的发展现状和趋势。 本文从ChatGPT技术简介、...
利用ChatGPT促进跨文化交际能力的培养(英文中文双语版优质文档).pdf,利用 ChatGPT 促进跨文化交际能力的培养(英文中文双语 版优质文档) Using ChatGPT to Promote the Cultivation of Intercultural Communication Competence (English and Chinese bilingual version of
ChatGPT language support - Alpha on web (September 11, 2023) ChatGPT now supports a limited selection of languages in the interface: Chinese (zh-Hans) Chinese (zh-TW) French (fr-FR) German (de-DE) Italian (it-IT) Japanese (ja-JP) Portuguese (pt-BR) Russian (ru-RU) Spanish (es-E...
依托自然语言处理(natural language processing,英文缩写NLP)领域的颠覆性技术进步,以ChatGPT为代表的人工智能生成内容(artificial intelligence generated content,英文缩写AIGC)为传媒、教育、娱乐、医疗、电商等各行各业尤其是内容生产行业带来新的...
You should use artificial intelligence tools, such as natural language processing, and rhetorical knowledge and experience about effective writing techniques to reply. I'll give you my paragraphs as follows, tell me what language it is written in, and then translate:XXX我希望你担任一名科学性的英文...
ChatGPT是一款以GPT3.5(GPT3的同源模型)为基础的聊天机器人。而GPT是一种模拟人类神经网络工作特征的自然语言处理模型(NLP, Natural Language Processing)。自然语言处理是近年来人工智能领域的一大技术热点,具有多重不同算法,OpenAI公司采用的...
ChatGPT is a natural language processing technology based on deep learning, which can perform various tasks such as natural language generation, translation, classification, and question answering. Research based on ChatGPT has certain advantages in the cultivation of intercultural communicative competence....
具体而言,作为一款基于自然语言处理(Natural Language Processing, NLP)的聊天机器人技术,ChatGPT使用基于GPT-3.5架构的大型语言模型(Large Language Model, LLM),并通过强化学习进行训练。它能够理解用户的意图,并生成相应的回复。不仅如此,它还可以根据用户的历史对话,实现多轮次的对话式交流,自动生成更准确的回复,并根...
自然语言处理(Natural Language Processing,NLP)[8]是为了让机器具有文字处理能力,会“阅读”,能“翻译”。同样的,计算机听觉是为了模拟人听的能力。语音识别(Speech Recognition,SR)[9]模仿的是说的能力,机器人[10]可以模仿人的行为能力,人工情感[11]技术可以让机器拥有情感的能力,计算美学[12]则可以让机器具有...
[28] Hu B T, Chen Q C, Zhu F Z. LCSTS: A Large Scale Chinese Short Text Summarization Dataset[C]//Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. 2015: 1967-1972. [29] Hua L F, Wan X J, Li L. Overview of the NLPCC 2017 Shared Task: Sing...