This content was created by Matt Wolfe. This content was uploaded by Matt Wolfe. This is a YouTube video titled "How do LLMs Actually work?" created on July 23, 2025, discussing the inner workings of large language models (LLMs) and how they predict the next word or token by generalizing from a vast training set of language data.
Describe what's happening under the hood with an LLM, like, what's kind of going on? Can we sort of demystify it for people a little at.
The basic level? What these LLM systems are trying to do is very simple in a way. They're just trying to predict the next word, what should the most likely next word be, or next token is sometimes called. And they do that by obviously looking at a vast training set of language, pretty much the whole open web. But the trick is not just to regurgitate what it's already seen, but actually generalize to something novel that you are now asking it, and it seems like we've managed with the modern day systems, is to get that generalization to work.
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