Abstract

The main goal of this chapter is to delve into the creation, implementation, and practical applications of large language models. As these models become increasingly important in modern artificial intelligence systems, this chapter explains how they are built, trained, and used in various fields like education, healthcare, law, and business, where they improve efficiency and aid in complex decision-making processes. It delves into the underlying technologies that have propelled LLMs, such as transformer architectures, extensive datasets, and the computational power that has accelerated their progress.