Lesson 1494 of 1570
AI and How LLMs Actually Work (No Math Required)
ChatGPT predicts the next word — that's the whole secret. Once you get this, AI stops being magic.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The big idea
- 2LLM
- 3prediction
- 4tokens
Concept cluster
Terms to connect while reading
Section 1
The big idea
Large Language Models (LLMs) like ChatGPT do one thing: predict the next word, over and over. They learned by reading huge amounts of internet text and getting good at the guess. They don't 'know' or 'understand' — they pattern-match. Once you get that, you understand why they hallucinate and why prompting works.
Some examples
- ChatGPT picks the next 'token' (word/piece) based on probabilities.
- No 'thinking' happens — just very fast pattern-matching.
- Trained on trillions of words, mostly internet text.
- This is why AI invents stuff: it's predicting plausible text.
Try it!
Ask ChatGPT: 'Finish this sentence: The cat sat on the ___.' It picks 'mat'. That's the whole AI in one example.
Key terms in this lesson
End-of-lesson quiz
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