User Invented Applications of AI-Based GPTs in Teaching-Learning and Research-Publications

P. S. Aithal, S. Aithal
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Abstract

Purpose: AI-Based Generative Pre-trained Transformers (GPT) including ChatGPT of OpenAI and Bard of Google are becoming popular in many industry sectors including Education, Research, and Publications. Innovative users discovered many more uses for such GPTs, even though the main goals of their design and development were to translate publicly available information from many languages to a chosen language of customers or users and to create a highly versatile and adaptable language model capable of understanding and generating text that resembles that of a human. By utilizing extensive pre-training on a variety of datasets, GPT models seek to achieve superior performance in natural language interpretation and generating tasks. Methodology: An exploratory research method is used to analyse the collected information as per the keywords using the Google search engine, Google Scholar search engine, and AI-driven search engines. Result and Analysis: In this paper, a comprehensive analysis of user-found innovative applications of AI-Based GPTs in primary industry sector, secondary industry sector, tertiary industry sector, and quaternary industry sector. Furthermore, some of the Smart-Innovative applications based on users’ strategy of identifying opportunities to make effective usage of AI-Based GPTs in Teaching-learning responsibilities and Research & Publications in Higher education industry. Originality/Value: The paper discuses some of these smart-innovative application identified by teachers and researchers for effective use of AI-based GPTs in academics and research & publications other than its primary objectives of language translation, in order to make effective use of them to improve academic and research & publication productivity. Type of Research: Exploratory Research.
用户发明的基于人工智能的 GPT 在教学、学习和研究出版物中的应用
目的:基于人工智能的生成式预训练转换器(GPT),包括 OpenAI 的 ChatGPT 和谷歌的 Bard,正在教育、研究和出版等许多行业领域流行起来。尽管 GPT 设计和开发的主要目标是将多种语言的公开信息翻译成客户或用户选择的语言,并创建一个具有高度通用性和适应性的语言模型,能够理解和生成与人类相似的文本,但创新用户发现了此类 GPT 的更多用途。通过在各种数据集上进行广泛的预训练,GPT 模型力求在自然语言解释和生成任务中取得优异的性能。研究方法:采用探索性研究方法,使用谷歌搜索引擎、谷歌学术搜索引擎和人工智能驱动的搜索引擎,根据关键词对收集到的信息进行分析。结果与分析:本文全面分析了用户发现的基于人工智能的 GPT 在第一产业领域、第二产业领域、第三产业领域和第四产业领域的创新应用。此外,还根据用户的策略,发现了一些智能创新应用,以便在高等教育行业的教学责任和研究与出版中有效利用基于人工智能的 GPT。原创性/价值:本文讨论了教师和研究人员所发现的一些智能创新应用,这些智能创新应用可在语言翻译这一主要目标之外,在学术和研究与出版领域有效使用基于人工智能的 GPT,从而有效利用这些智能创新应用提高学术和研究与出版生产力。研究类型:探索性研究。
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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