In the rapidly evolving field of artificial intelligence, large language models (LLMs) have emerged as foundational tools in natural language processing (NLP). These models are at the core of systems capable of translating languages, writing essays, generating code, and even composing poetry—all from a simple prompt. The transformative potential of LLMs has reshaped how we understand the intersection of language, computation, and machine learning. However, while many interact with these systems daily, few understand how they are built from the ground up.