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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

Why a model answers like an assistant

Separate following instructions from verifying facts.

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
How Does an LLM Actually Write?Helpful background

A pretrained base model learns patterns for continuing text. Instruction tuning adds training on request-response examples to shape helpful responses. Base models can sometimes answer questions too; the distinction is their training and typical behavior, not an absolute ability boundary. Neither label guarantees truth.

Choose a scenario to compare the task and reasoning.

Training on instruction-response examples can make following requests more consistent. Results still depend on the model and prompt.

A model follows your requested format. Does that prove its factual claims are correct?
Open the related tutorial

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