生成 AI
「これは何か」の判別から「どうあるべきか」の合成へ
OVERVIEW
- 全項目
- 6
- 初級
- 2
- 中級
- 3
- 上級
- 1
A generative model is not content with labelling a sample; it must produce the sample itself. Autoencoders, GANs, diffusion models and autoregressive models are four principal routes, each giving a precise mathematical formulation to the vague goal of “looking real” — and each now underpinning image, video, speech and 3D content production.
この領域が答える問い
- Q1
What distribution is a generative model learning?
- Q2
Why is diffusion more stable than a GAN?
- Q3
How does a text prompt become an image?