Generative AI β€” Core Concepts

A clean, colourful and reliable mini-lab for school students. Learn by playing with simple, solid demos and a gentle 3D showcase.

πŸš€ Start Learning 🧊 See 3D

πŸͺ„ 3D Magic Zone

Text
Image
Audio
Video
Code
Magic

Lightweight CSS 3D animation β€” smooth on mobile too.

πŸ“š Core Concepts (each in a neat colour)

The essentials of GenAI with tiny, reliable demos.

1) Synthetic Data Creation

Add β€œfake but useful” examples to help models generalise.

Accuracy vs Examples

2) Zero-/Few-shot Learning

  • 0-shot: no examples β†’ the model β€œguesses”.
  • Few-shot: add a few examples in the prompt β†’ better.
0-shot β†’
β€οΈπŸ€– (guess)
few-shot β†’
β€οΈπŸ€–βœ¨ (learned style)

3) Style Transfer

4) Creative Applications

Click the wand for ideas!

5) RLHF β€” Human Feedback

Thumbs teach models what we prefer; reward goes up/down.

Reward: 0

6) Fine-tuning / Adapters

Adapter ON: The model suggests a 4-3-3 formation and high press tactics.

πŸ“–
Text
Read & write
πŸ–ΌοΈ
Images
See
🎧
Audio
Hear
🎬
Video
Watch

8) Diffusion Models

Move the slider: noise β†’ clear image

cute robot drawing a rainbow
β€œA cute robot drawing a rainbow”

9) GANs β€” Generator vs Discriminator

Realism Score
50%

10) Transformer Attention (toy)

Brighter cards β‰ˆ higher attention weight (toy)

11) Autoencoders & Latent Space

Slide to β€œtravel” the latent space β†’ face morphs

12) Prompt Engineering

Helpful Templates

  • You are a helpful teacher. Step-by-step: …
  • Answer with bullet points and a friendly tone.
  • Use simple words. Explain like I'm 10.

Output (simulated)

13) Text β†’ Image

Describe a scene β†’ picture.

Text to image example

Text β†’ Video

Describe motion β†’ clip.

Text β†’ Audio

Describe a sound β†’ audio.

β€œA cheerful jingle in C major” β™ͺ

πŸ“ˆ Graphical Visualisation

More good data usually helps β€” but gains plateau.