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Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod

AWS Machine Learning Blog

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

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Who Said What? Recorder's On-device Solution for Labeling Speakers

Google Research AI blog

This feature is powered by Google's new speaker diarization system named Turn-to-Diarize , which was first presented at ICASSP 2022. Architecture of the Turn-to-Diarize system. It also reduces the total number of embeddings to be clustered, thus making the clustering step less expensive.

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Transforming the future: A journey into model-based systems engineering at Singapore Institute of Technology

IBM Journey to AI blog

Students chose a system to model, defined modelling goals, and demonstrated their skills in various activities, including mock pitching MBSE to engineering organizations, defining system architecture and creating advanced model simulations.

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Redesigning Snorkel’s interactive machine learning systems

Snorkel AI

Because frequent patching required a lot of our time and didn’t always deliver the results we hoped for, we decided it was better to rebuild the system from the ground up. How we redesigned our interactive ML system Here, we’ll detail the process we followed to arrive at our high-level system architecture.

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Redesigning Snorkel’s interactive machine learning systems

Snorkel AI

Because frequent patching required a lot of our time and didn’t always deliver the results we hoped for, we decided it was better to rebuild the system from the ground up. How we redesigned our interactive ML system Here, we’ll detail the process we followed to arrive at our high-level system architecture.

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Meeting customer needs with our ML platform redesign

Snorkel AI

Because frequent patching required a lot of our time and didn’t always deliver the results we hoped for, we decided it was better to rebuild the system from the ground up. How we redesigned our interactive ML system Here, we’ll detail the process we followed to arrive at our high-level system architecture.

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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI

AWS Machine Learning Blog

In this post, we describe our design and implementation of the solution, best practices, and the key components of the system architecture. The solution is then able to make predictions on the rest of the training data, and route lower-confidence results for human review.

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