By the end of this lesson, you will understand the fundamental, step-by-step process Large Language Models (LLMs) use to generate text, from breaking down input to predicting the next word, and how parameters like temperature influence their output, including why they sometimes 'hallucinate'.
LLMs don't actually 'understand' language in the human sense; they are sophisticated pattern-matching machines.
Unlike human cognition, which involves conceptual understanding and reasoning, LLMs operate by identifying statistical relationships between vast amounts of text data.