With support for PyTorch in Amazon SageMaker, you have a flexible deep learning framework combined with a fully managed machine learning solution to transition seamlessly from research prototyping to production deployment. In this session, hear from the PyTorch team on the latest features and library releases. Also learn how to develop with PyTorch using Amazon SageMaker for key use cases such as using a BERT model for natural language processing (NLP) and instance segmentation for fine-grain computer vision. Lastly, take away best practices from Autodesk based on its experience with PyTorch on Amazon SageMaker for a range of NLP use cases.