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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

A correction is not model training

Separate parameter updates from context changes.

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

Training adjusts model parameters using data. Ordinary inference uses existing parameters to answer. A correction in the conversation changes the context; by itself it does not update parameters. Application memory and later training are separate processes.

Choose a scenario to compare the task and reasoning.

A training procedure updates parameters using examples. This is separate from an ordinary chat turn.

An assistant uses a correction from this conversation. Does that prove its parameters changed?
Open the related tutorial

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