An Exploration Into the Mechanisms and Evolution of GPT Models

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Author(s): Fatima Barakat AlShannaq (Amman Arab University, Jordan), Mohammad M. Shehab (Amman Arab University, Jordan), Anwar H. Al-Assaf (Amman Arab University, Jordan), Esra'a Alhenawi (Zarqa University, Jordan)and Shatha Awawdeh (Applied Science Private University, Jordan)
Copyright: 2025
Pages: 22
Source title: Impacts of Generative AI on the Future of Research and Education
Source Author(s)/Editor(s): Abdullah Mutawa (Computer Engineering, Kuwait University, Kuwait)
DOI: 10.4018/979-8-3693-0884-4.ch018

Keywords: Artificial Intelligence / Computer Science & IT / Educational Technologies / Information Science Reference

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Abstract

This chapter of the book explores the development and capabilities of Generative Pre-trained Transformers (GPT) models, tracing their evolution and comparing them with other AI language models. It delves into practical applications across domains, emphasizing GPT's role in generating human-like text, aiding natural language understanding, and supporting conversational AI. The chapter discusses the profound implications of GPT's capabilities, including opportunities for automating content creation. Additionally, it critically examines limitations and ethical concerns, addressing issues like biased language generation, potential misinformation, and privacy and data security. The overall aim is to provide a comprehensive and responsible perspective on developing and deploying GPT models.

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An Exploration Into the Mechanisms and Evolution of GPT Models

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