Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...
Transformer-based models have rapidly spread from text to speech, vision, and other modalities. This has created challenges for the development of Neural Processing Units (NPUs). NPUs must now ...
What do OpenAI’s language-generating GPT-3 and DeepMind’s protein shape-predicting AlphaFold have in common? Besides achieving leading results in their respective fields, both are built atop ...
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