Generative AI
Diffusion Models
AI that creates images by starting with pure noise and gradually refining it into a clear picture, like watching a Polaroid develop.
Definition
Generative models that learn to reverse a gradual noising process, generating new data by iteratively denoising random noise. Powers image generation systems like Stable Diffusion, DALL-E, and Midjourney.
Why it matters
Revolutionized AI image generation with photorealistic quality, enabling creative and commercial applications at scale.
Related terms in Generative AI
Foundation Models
Massive AI models (like GPT-4 or Claude) pre-trained on enormous datasets that can be adapted for thousands of different tasks.
GANs (Generative Adversarial Networks)
Two AI models competing against each other, one creates fakes, the other tries to catch them, until the fakes are perfect.
Generative AI
AI that creates new content, text, images, code, music, video, rather than just analyzing existing data.
Multimodal AI
AI that can understand and generate multiple types of content, text, images, audio, and video, all at once.
From vocabulary to outcomes
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