Nybble™
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understand

How AI Actually Works

The plain-English tour of what's inside ChatGPT and Claude — tokens, training, hallucination, RAG, agents — no math, and a map of where to go deeper.

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14 lessons
  1. 1. The one-sentence version4 min
  2. 2. Tokens: how AI reads4 min
  3. 3. Words as numbers4 min
  4. 4. How "it" finds its meaning4 min
  5. 5. Where the knowledge comes from4 min
  6. 6. From autocomplete to assistant4 min
  7. 7. Why it makes things up4 min
  8. 8. AI's working memory4 min
  9. 9. Why answers differ4 min
  10. 10. RAG in one picture4 min
  11. 11. Tools and agents in one picture4 min
  12. 12. Prompting vs RAG vs fine-tuning4 min
  13. 13. Open vs closed, big vs small4 min
  14. 14. Reading AI news without being fooled4 min
  15. Key takeaways4 min
  16. How to get certified3 min
  17. Your certificate

About Nybble™

The AI space moves fast.
Nybble™ is how you keep up — and stay sharp.

Snack

What happened. In two minutes.

The AI news cycle moves at a pace no one can keep up with. Snack distills what launched, what shipped, and what matters — every day, without the filler.

Go to Snack
Stack

The concepts behind the headlines.

News tells you what. Stack tells you why and how. From RAG architectures to agentic evals, these are the ideas that will shape what you build next.

Go to Stack
Hack

Prove you actually get it.

Reading about LangChain is not the same as knowing it. Hack challenges you with production-grade questions, then shows you the references that make the answer stick.

Go to Hack