Variations of Large Language Models: An Overview

Large Language Models (LLMs) have introduced a paradigm shift in how computers understand and generate language, elevating artificial intelligence to unprecedented levels. These powerful models, anchored in the Transformer architecture, demonstrate unparalleled proficiency in tasks like text interpretation and generation. This review delineates LLMs into three predominant categories: Interpretive AI (iAI) for contextual understanding, Generative AI (gAI) for text generation, and Transformative AI (tAI) that combines both capabilities. We delve into their mechanisms, diverse applications, and the ethical challenges they introduce. By tracing their evolutionary journey, we provide insights into the rapid progression of linguistic technology and speculate on its future trajectory. As LLMs gain traction, a balanced understanding of their advantages and inherent challenges becomes paramount. This report presents a comprehensive overview of LLMs, highlighting their significance and implications for the future of AI.