Skip to content
AI-grafen
Sign in
☰ Menu

The goal C Builder

Computers that see and hear

How does a computer recognise a cat, understand your voice and create images from text? Build and test it yourself — and learn where it goes wrong.

Knowledge nodes
25
From zero
about 9 h
Labs
0
See what you already know — no account

The diagnostic removes what you already know, so your path is usually much shorter.

What you can do afterwards

The whole path

Everything the goal builds on, grouped by level and in the order it builds on itself. Show on the map

AExplorer9 knowledge nodes
  1. Patterns and categories
  2. Sequences and precise instructions
  3. Integer arithmetic and order of operations
  4. Comparing and sorting values
  5. Training a machine with examples
  6. What is a computer?
  7. Input and output
  8. Digital images and pixels
  9. Talking to an AI — what can it do, and what can't it?
BInvestigator10 knowledge nodes
  1. Data in everyday life
  2. Algorithmic thinking
  3. Rule-based systems and machine learning
  4. Binary numbers and bits
  5. Coordinates: positions on a grid
  6. Sound waves and frequency
  7. How does a model recognise an object?
  8. How does the voice understand me?
  9. Generative AI: how it creates content
  10. Language models and probabilities
CBuilder6 knowledge nodes
  1. Digital representation: text, images and audio
  2. Sound as data: sampling rate and amplitude
  3. Attention: how words influence each other
  4. Words as points: similar words close together
  5. Images and text together
  6. Making images from text — and what can go wrong