In the realm of artificial intelligence, large language models have emerged as a revolutionary breakthrough, transforming the way we interact with machines and process vast amounts of textual information. These powerful models have the ability to understand, generate, and respond to human language, pushing the boundaries of what was once thought possible. In this article, we will delve into the basics of large language models, exploring their architecture, training process, and applications. At its core, a language model is a computational system designed to understand and generate human language. Traditional language models relied on statistical approaches, but with the advent of deep learning, the emergence of large language models became a reality. These models are built upon neural networks, specifically transformers, which have become the cornerstone of natural language processing tasks.