EVALUATING AWARENESS, UTILIZATION, AND PERCEPTIONS OF CHATGPT AMONG LIBRARY AND INFORMATION SCIENCE STUDENTS

Abstract

Background: The Generative Pre-trained Transformer (GPT) architecture forms the foundation of OpenAI's ChatGPT, a conversational AI first introduced as GPT-3.5 in 2022 and subsequently enhanced to GPT-4 in 2023. Leveraging large-scale text corpora, ChatGPT is designed to generate coherent, human-like responses across diverse contexts, reshaping interactions in education, healthcare, customer service, and content creation.

Methodology: ChatGPT employs deep learning techniques, specifically transformer-based models, to process and understand natural language input. The system analyses vast text datasets to predict contextually appropriate responses, enabling applications such as question answering, summarization, essay writing, translation, and code generation.

Results: The implementation of ChatGPT has demonstrated substantial utility in academic and professional settings, providing on-demand explanations, summarized content, and writing support. The 2023 release of GPT-4 enhanced logical reasoning, language comprehension, and overall response quality. Integration with platforms like Microsoft Word, Bing, and educational applications reflects its expanding influence.

Discussion: ChatGPT offers significant advantages, including improved productivity, automated content generation, support for learning and research, and enhanced human-machine interaction. However, limitations exist, such as generating plausible but inaccurate or biased content, risks to academic integrity, overreliance affecting critical thinking, and the need for ethical oversight. Despite these challenges, ChatGPT exemplifies the transformative potential of generative AI in augmenting human tasks and reshaping workflows.