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Map the AI · Daily learning

One small lesson. One step forward.

Learn how AI handles text and generates answers through a short experiment and a question. Open the linked tutorial to explore further.

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Preferences support future recommendations. This foundation practice currently keeps a fixed sequence.

A learning track for your goal

AI Literacy

Understand what AI is, how it works, and where it fails — without writing a line of code.

Explore the full track and prerequisitesPlan for my level

The full track uses the existing knowledge graph. Short-lesson mastery currently covers the foundation units below.

Foundation lesson progress

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A correct answer is a start. Regular reviews help you remember. Take a break whenever you like.

Entry

ML Foundations

Foundations

Prompting

Build a continuation one step at a time

See how each selected token becomes context for the next step.

What to learn first

These basics help you understand this lesson. One correct answer is a start; explore the full tutorial or try this lesson now.

What Is a Token in AI?Recommended first
What Is an LLM?Recommended first

In autoregressive text generation, a model predicts a distribution for the next token from the available prefix. Decoding selects a token, appends it, and repeats until a stopping condition. A different choice can change later continuations; it does not prove which claim is true.

This is a handcrafted illustration, not a real model or tokenizer. Choose a candidate piece and watch how the next step depends on the text so far.

Learning

Pieces selected: 0

After a token is selected, what conditions the next prediction?
Open the related tutorial

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