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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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
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Turn a category into numbers
Distinguish category labels from meaningful numerical order.
Models operate on numerical representations. A category can be represented by a one-hot vector, while other tasks use different encodings or learned embeddings. Assigning IDs to categories does not automatically give those IDs a meaningful order or distance.
Choose a category to see one-hot encoding: one position is 1, the rest are 0. This is a manually specified encoding, not a learned semantic vector.
Cat
1
Dog
0
Bird
0
Cat → [1, 0, 0]
IDs 1, 2 and 3 would only label categories; they would not establish size, rank or semantic distance. Choose representations to suit the task.
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