Understanding How AI Language Models Process Human Language

This paper explains how AI language models process human language using computational techniques. It describes how text is converted into Unicode and UTF-8 encoding, broken into tokens through tokenization, and represented numerically using embeddings and vectors. The paper also explores the role of attention mechanisms and transformer architecture in understanding context and generating responses. This study aims to provide students and beginners with a clear understanding of how modern AI systems interpret and generate human language.