Mini toolsDefinition
AI systems that can create new data instances that resemble their training data.
Detailed Explanation
Generative models learn the underlying distribution of training data to generate new, similar instances. Key approaches include GANs, VAEs, and diffusion models, each with different methods for modeling and sampling from learned distributions.
Use Cases
Creating realistic images and videos, Synthesizing speech and music, Drug discovery through molecule generation
