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

Control formality in machine translated text using Amazon Translate

Favorite Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. Amazon Translate now supports formality customization. This feature allows you to customize the level of formality in your translation output. At the time of writing, the formality customization feature is available for six

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Shared by AWS Machine Learning February 23, 2022

Bongo Learn provides real-time feedback to improve learning outcomes with Amazon Transcribe

Favorite Real-time feedback helps drive learning. This is especially important for designing presentations, learning new languages, and strengthening other essential skills that are critical to succeed in today’s workplace. However, many students and lifelong learners lack access to effective face-to-face instruction to hone these skills. In addition, with the rapid

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Shared by AWS Machine Learning February 16, 2022

How SIGNAL IDUNA operationalizes machine learning projects on AWS

Favorite This post is co-authored with Jan Paul Assendorp, Thomas Lietzow, Christopher Masch, Alexander Meinert, Dr. Lars Palzer, Jan Schillemans of SIGNAL IDUNA. At SIGNAL IDUNA, a large German insurer, we are currently reinventing ourselves with our transformation program VISION2023 to become even more customer oriented. Two aspects are central

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Shared by AWS Machine Learning February 16, 2022