Understanding LLMs: How Models Process Language Through Tokens

Understanding the fundamental architecture of LLMs—from training processes to token processing—is crucial for developers building AI systems. This guide clarifies key misconceptions, such as tokens differing from words and context window size directly impacting a model's memory and reasoning capabilities. Developers who grasp these concepts can select the right model for their use case and optimize prompts more effectively.