Mackenzie is the Global Startup Evangelist at AWS. His days are spent traveling the globe to meet startups, share their stories, and connect engineering teams together. Every day there are a large number of startups launching on AWS across every imaginable industry. It’s Mackenzie’s mission to find stories of startups that are helping to improve the world and share these stories with a wide audience.
Are you building Natural Language Processing (NLP) ML workloads and early in your journey using Transformers? Are you looking for ways to explore Transformers but unsure about the learning curve and ROI? Are you a startup technology leader looking to create world-leading NLP performance?
If you answered "yes" to any of the questions above, this workshop is for you!
AWS has partnered with Hugging Face to make it easier for companies to leverage state-of-the-art ML models and ship cutting-edge NLP features faster.
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Learn how the new Hugging Face Deep Learning Containers make it easier than ever to train Transformer models on Amazon SageMaker. Get started with (literally) a few lines of code, using variants specially optimized for TensorFlow and PyTorch and variety of infrastructure options.
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Space is limited, reserve your seat today. Â
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Deepam Mishra is a 4-time ML founder, ex-VC and a ex-ML researcher. Currently he is a Senior Business Advisor to ML Startups, at AWS. Before AWS, Deepam was the VP of Innovation at Wipro Technologies as well as a founder of startups in financial services, drone surveillance and medical imaging. He has 5 US Patents and multiple publications.
Ana is a Principal Specialist in the AWS ML Frameworks team, where her role is to help the world’s leading ML and NLP innovators leverage AWS technology services. Ana has had several leadership roles at startups and large corporations such as Intel, leading ML inference and linguistics related products. Ana has a Masters from Brown University and has been a visiting scholar in Linguistics at Stanford. She has a deep technical background in NLP, Machine Learning and Linguistics.
Ankur is an expert in Cloud and Machine Learning, Data Science and Probabilistic Design. Currently, he is part of AWS ML Frameworks team and helps customers with compute intensive Machine Learning workloads such as NLP. Ankur has worked with various leading startups such as, Uptake as well as at large corporations such as GE Global Research and Atos. Ankur has completed a post-doc from MIT and a Ph.D. from Rice University.
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