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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.

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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

Words are not tokens

Explain why character and word counts cannot reliably predict token counts.

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 AI, and How Do People Actually Use It?Helpful background

A tokenizer splits text into units from its vocabulary. The same text can have different boundaries with different tokenizers. The example below uses invented boundaries, not a real tokenizer.

Learning·AI

Changing chunk size changes the unit count. Character chunks here are not real token boundaries.

How should you measure input size for a specific model?
Open the related tutorial

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