Purnendu Mukherjee is a Solutions Architect at NVIDIA specializing in speech and language processing tasks and assists enterprise customers developing deep learning solutions on NVIDIA GPUs. Before joining NVIDIA, Purnendu graduated from the University of Florida with a Master’s degree in Computer Science specializing in deep learning-based Natural Language Processing.
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 […]