Generative AI

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How AI makes images, video and music, and how to use it. Diffusion, GANs, prompt engineering, negative prompts, seeds, upscaling: the terms you meet the moment you open an image generator.

Level
3D Generation

Turning a few photos or a line of text into a 3D shape

Basics
AI & Copyright

The open questions of rights around AI training and AI output

Ethics Intro
AI Art

Pictures made with generative tools, and the debates around them

Intro
AI Watermark

An unobtrusive mark embedded inside what AI generates

Ethics Basics
Autoencoder

A structure that learns by shrinking data down and rebuilding it

Basics
Background Removal

Erasing a photo's background and keeping just the subject

Vision Intro
Colorization

Adding fitting color to a black-and-white picture

Intro
Consistency

Keeping the same subject looking the same across every shot

Basics
ControlNet

A device that pins an image's shape down with a rough sketch

Advanced
Deepfake

Fake video or audio where AI copies a real face or voice

Ethics Intro
Denoising

Removing only the flecks mixed in, leaving the original untouched

Basics
Diffusion Model

Peeling away blur, layer by layer, until a picture appears

Basics
GANGenerative Adversarial Network

A maker and a checker compete, and both get better

Basics
Gaussian Splatting

A 3D scene held as millions of scattered color blobs

Advanced
Generative AI

AI that invents a result that never existed before

Intro
Guidance Scale

The dial that decides how literally a request gets followed

Advanced
Image Captioning

Looking at a picture and writing what's in it as a sentence

Basics
Image-to-Image

Building a new picture starting from a given one

Intro
Inpainting

Erasing part of a picture and filling it back in

Intro
Interpolation

Filling the space between two points with several in-between steps

Basics
Latent Space

The place where compressed values end up sitting

Basics
Lip Sync

Fitting mouth shapes to the beat of a sound

Vision Basics
LoRA

Leaving the main body alone and training only a small add-on

Training Advanced
Mode Collapse

When the generator repeats a few winning outputs and variety fades

Advanced
Motion Capture

Turning body movement into a record of point locations

Vision Intro
Music Generation

Turning a request or opening phrase into a song with AI

Intro
Negative Prompt

The field for writing what shouldn't appear in the picture

Intro
NeRFNeural Radiance Field

A 3D scene that answers with light for any spot and direction

Advanced
Noise

The blur mixed in — and also where generation starts

Intro
Outpainting

Widening a picture's frame and drawing the new edges to match

Intro
Prompt Adherence

The yardstick for whether a result matches what was requested

Basics
Prompt Engineering

Shaping an instruction so the result matches what you want

Intro
Resolution

The number of dots a picture is made of

Intro
Sampling Steps

The number of passes it takes to turn blur into a picture

Basics
Seed

The starting number that reproduces the same picture again

Intro
Style Transfer

Keeping a picture's content and swapping only its surface look

Intro
Synthetic Data

Data made up because it was needed, not because it happened

Evaluation Basics
Text Generation

Building text by looking at what came before and adding the next piece

LLM Intro
Text-to-Image

Making a picture out of what's written down

Intro
Text-to-Video

Turning text or a photo into a moving scene

Intro
TTSText-to-Speech

The technology that reads text out loud in a voice

Vision Intro
U-Net

Shrinks an image down, then grows it back while recovering position

Architecture Advanced
Upscaling

Using AI to enlarge a picture by inventing the detail it never had

Intro
Variation

Slightly different results pulled from the same request

Intro
Variational Autoencoder

An autoencoder that remembers things as a range, not a point

Advanced
Vocoder

The part that turns a sound blueprint into an actual waveform

Vision Advanced
World Model

A model of how the world works that you can run before acting

Advanced