A generative AI model that creates data by learning to reverse a gradual noising process.
A generative AI model that creates data by learning to reverse a gradual noising process. During training, it learns to remove noise step by step. During generation, it starts with pure noise and progressively refines it into coherent output. Powers image generators like DALL-E 3, Stable Diffusion, and Midjourney.
AI systems that create new content — text, images, audio, video, or code — rather than just analyzing or classifying existing data.
An open-source image generation model released by Stability AI.
A mathematical function applied to a neuron's output that introduces non-linearity into the network.
An optimization algorithm that combines the best parts of two other methods — AdaGrad and RMSProp.
Artificial General Intelligence.
The research field focused on making sure AI systems do what humans actually want them to do.
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