Eddie Weill is a Solutions Architect at NVIDIA specializing in assisting enterprise customers develop deep learning and accelerated computing solutions. Prior to his current position, he worked at NVIDIA in the Intelligent Video Analytics group on deep learning model development for smart cities. As part of his PhD, he focused on deep learning for computer vision and applications involving embedded systems. During his graduate studies at Clemson University, he focused on deep learning as well as some high-performance computing applications.
The advent of large-scale language models has improved the state-of-the-art by a significant margin for NLP tasks such as Question Answering, Sentence Classification, Named Entity Recognition, Sentiment Analysis, etc. The deployment of these tasks in a production environment could benefit from acceleration with hardware as well as optimization of the network via software. Nvidia GPUs […]