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Transformers, more than meets the eye

Published by Clarifai

The whitepaper discusses how transformers, originally designed for natural language processing (NLP), are now making significant advances in computer vision (CV). Transformers, by leveraging attention mechanisms, allow models to process data in parallel, overcoming the limitations of recurrent neural networks (RNNs) and convolutional neural networks (CNNs). This breakthrough enables more accurate image classification, object detection, and text processing tasks.

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Related Categories Artificial Intelligence, AI Ethics, AI Platforms, AI Integration, AI Strategy, AI Development Tools, AI Deployment, AI Governance, Text Mining, Computer Vision, Image Recognition, Object Detection

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