Next-Token Prediction Explained: How ChatGPT Really Works

How does an LLM actually reason? Next-token prediction explained simply — no hidden team of models, no secret parallel thinking. Here's what's really happening.

When you ask an AI a hard question, is it secretly asking itself 10 internal
questions, or running a hidden team of models in parallel? The answer is no —
and understanding what's really going on will make you far better at using
these tools.

In this episode we break down:
- What a "token" actually is (a word, a comma, even a piece of code)
- How an LLM predicts the most useful next piece of text from web-scale data
- Why "it just predicts the next word" is technically true but misses the point
- The Formula 1 analogy: technically an F1 car "just burns fuel" — but the
machine built around it is a huge part of the equation

The takeaway: LLMs have absorbed how humans explain things, solve math, and
write code — so the reasoning that emerges is far more than autocomplete.

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Видео Next-Token Prediction Explained: How ChatGPT Really Works канала Pluree AI