Train 175+ billion parameter NLP models with model parallel additions and Hugging Face on Amazon SageMaker

Favorite The last few years have seen rapid development in the field of natural language processing (NLP). While hardware has improved, such as with the latest generation of accelerators from NVIDIA and Amazon, advanced machine learning (ML) practitioners still regularly run into issues scaling their large language models across multiple

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Shared by AWS Machine Learning March 2, 2022

Announcing the AWS DeepRacer League 2022

Favorite Unleash the power of machine learning (ML) through hands-on learning and compete for prizes and glory. The AWS DeepRacer League is the world’s first global autonomous racing competition driven by reinforcement learning; bringing together students, professionals, and enthusiasts from almost every continent. I’m Tomasz Ptak, a senior software engineer

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Shared by AWS Machine Learning March 2, 2022

Build, train, and deploy Amazon Lookout for Equipment models using the Python Toolbox

Favorite Predictive maintenance can be an effective way to prevent industrial machinery failures and expensive downtime by proactively monitoring the condition of your equipment, so you can be alerted to any anomalies before equipment failures occur. Installing sensors and the necessary infrastructure for data connectivity, storage, analytics, and alerting are

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Shared by AWS Machine Learning February 24, 2022

How Kustomer utilizes custom Docker images & Amazon SageMaker to build a text classification pipeline

Favorite This is a guest post by Kustomer’s Senior Software & Machine Learning Engineer, Ian Lantzy, and AWS team Umesh Kalaspurkar, Prasad Shetty, and Jonathan Greifenberger. In Kustomer’s own words, “Kustomer is the omnichannel SaaS CRM platform reimagining enterprise customer service to deliver standout experiences. Built with intelligent automation, we

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Shared by AWS Machine Learning February 24, 2022