An Interdisciplinary Exploration of Concept and Application of Large Language Models

Large Language Models (LLMs) have emerged as transformative tools in Artificial Intelligence (AI), fueled by advancements in deep learning. Notably, OpenAI's Generative Pretrained Transformer (GPT) series has showcased their capacity to comprehend and generate human-like text, making them indispensable across various domains. This paper provides a comprehensive exploration of LLMs, encompassing their foundational principles, technical advantages, and multifaceted applications spanning agriculture, medicine, and information security. By elucidating how LLMs revolutionize these sectors through heightened efficiency, accuracy, and innovation, this work unveils their potential to reshape industries and drive technological progress. Additionally, this work delves into forthcoming prospects and potential challenges in LLM development and deployment, concluding with a synopsis of pivotal insights. As LLMs continue to evolve, their integration into diverse fields promises profound implications for human-computer interaction and societal advancement. This paper illuminates the trajectory of LLMs, from their inception to their current prominence, underscoring their pivotal role in shaping the future of AI and fostering responsible innovation.