From the Editor's Desk

How LLMs Work, Explained Without Math

A basic question I think a lot of people have about the GenAI revolution is where does the apparent intelligence these models have come from. In this article, I'm going to attempt to explain in simple terms and without using advanced math how generative text models work, to help you think about them as computer algorithms and not as magic.

I'll begin by clearing a big misunderstanding people have regarding how Large Language Models work. The assumption that most people make is that these models can answer questions or chat with you, but in reality all they can do is take some text you provide as input and guess what the next word (or more accurately, the next token) is going to be. Let's start to unravel the mystery of LLMs from the tokens.

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