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CLIP (Contrastive Language-Image Pretraining), Predict the most . . . CLIP [Blog] [Paper] [Model Card] [Colab] CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs It can be instructed in natural language to predict the most relevant text snippet, given an image, without directly optimizing for the task, similarly to the zero-shot capabilities of GPT-2 and 3
CLIP: Connecting text and images - OpenAI CLIP learns from unfiltered, highly varied, and highly noisy data, and is intended to be used in a zero-shot manner We know from GPT‑2 and 3 that models trained on such data can achieve compelling zero shot performance; however, such models require significant training compute