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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

Make your request clear

Describe the task, useful context and output format without promising correctness.

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 an LLM?Recommended first
Base Models vs Chat ModelsHelpful background

A useful prompt states what to do, supplies relevant information, and explains the desired output. Constraints can ask the model to identify missing evidence. They guide behavior but do not guarantee compliance or truth; inspect the result.

Build a prompt

Choose requirements and watch the prompt change. This exercise does not generate a model response.

Help with this.

Still check the answer: when the notes have no date, the output should not present a guess as fact.

Meeting notes omit a deadline. Which instruction best handles the missing fact?
Open the related tutorial

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