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.
The full track uses the existing knowledge graph. Short-lesson mastery currently covers the foundation units below.
Foundation lesson progress
Loading progress…A correct answer is a start. Regular reviews help you remember. Take a break whenever you like.
Follow the calculation through layers
Use intermediate activations to compute a final output.
A forward pass computes outputs from inputs using the existing parameters. Later layers consume results from earlier layers. In this example, two ReLU units produce h₁ and h₂, then y=h₁+2h₂. No weight update is performed.
A manually configured two-layer example with fixed parameters. Calculate two intermediate units, then combine them. This is not automatic training or a complete LLM.
1. Input
x = 1
2. Intermediate layer
h₁=max(0,x+1)
h₂=max(0,1−x)
Not calculated yet
3. Output
y=h₁+2×h₂
Not calculated yet
Input ready. Start the calculation.
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