CLIP
OpenAI's Contrastive Language-Image Pre-training model that learns to connect images and text descriptions, enabling zero-shot image classification and powering text-to-image generation systems.
CLIP, released in 2021, was trained on 400 million image-text pairs from the internet. It can classify images into any category described in natural language without task-specific training. CLIP achieved competitive accuracy with fully supervised models on ImageNet while being far more flexible. The model serves as the text encoder in Stable Diffusion and DALL-E, translating text prompts into representations that guide image generation. CLIP demonstrated that scaling data diversity could be more powerful than scaling model size alone.
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Related Terms
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Frontier Model
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