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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. CLIPImageEncoderTextEncoder contrastive language-image pre-trainingCLIP CLIP Jan 5, 2021 CLIP learns from unfiltered, highly varied, and highly noisy data, and is intended to be used in a zero-shot manner. We know from GPT2 and 3 that models trained on such data can achieve compelling zero shot performance; however, such models require significant training compute. CLIP CLIP 4 Apr 7, 2022 CLIPCLIP zero-shotCLIPCLIP Dec 25, 2024 CLIP (Contrastive Language-Image Pre-training) Mar 22, 2024

CLIP - Jul 10, 2024 CLIP OpenAI 2021 AI CLIP Alec Radford Contrastive Language-Image Pre-training (CLIP), - CLIP-Imagenetzero-shot