The Progression of ChatGPT: An Evolutionary Study from GPT-1 to GPT-4

Abstract

This literature review comprehensively explores ChatGPT's evolution, highlighting its significance as a leading series of AI language models. It begins by discussing the foundational principles of Natural Language Processing (NLP) and early chatbot technologies, setting the stage for developing GPT (Generative Pretrained Transformer) models. Starting with GPT-1, it tracks the model's progression through GPT-2 and GPT-3, emphasizing the significant improvements in natural language understanding, fluency, and contextual accuracy. The review showcases how each iteration has surpassed critical benchmarks in AI performance, leading to its widespread use in various industries, such as customer service, healthcare, content creation, and education. In addition to technological breakthroughs, the review critically examines ethical issues associated with ChatGPT, including challenges related to bias, misinformation, and the social impact of AI-generated content. It also tackles concerns around scalability as the models grow more complex and require greater computational power. The transformative role of ChatGPT in academic research and its increasing adoption across industries are discussed in detail, providing insights into its broader societal influence. Finally, the review looks toward future developments, predicting further advancements in AI-powered language models and their potential to reshape the landscape of human-computer interaction.