🔗 How LLMs figure out what you mean - no math degree required

When you interact with an AI, how does it understand your input? In the article, the author clarifies this process by breaking down a simple sentence: "Do lions roar?". The explanation progresses from mapping words to numbers, to visualizing relationships between words as arrows. The key to understanding lies in the dot product, providing a familiarity score between word vectors. This insight allows the model to determine how closely related words are within a sentence. It also explains the importance of attention weights, revealing how each word shares its attention with others based on their relationships. No complex math is needed to grasp these concepts—just a clear mental picture of how LLMs read and interpret language. This article makes the complex workings of LLMs accessible and engaging without needing a math background.