Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.
A glass of water may look perfectly uniform, but at the molecular level, it could be carrying two different forms that are ...
Abstract: Coronary calcification is a strong indicator of coronary artery disease and a key determinant of the outcome of percutaneous coronary intervention. We propose a fully automated method to ...
MT-DNN, an open-source natural language understanding (NLU) toolkit that makes it easy for researchers and developers to train customized deep learning models. Built upon PyTorch and Transformers, ...
Abstract: Automatically producing Arctic sea ice charts from Sentinel-1 synthetic aperture radar (SAR) images is challenging for convolutional neural networks (CNNs) due to ambiguous backscattering ...