Optimize equipment performance with historical data, Ray, and Amazon SageMaker

Favorite Efficient control policies enable industrial companies to increase their profitability by maximizing productivity while reducing unscheduled downtime and energy consumption. Finding optimal control policies is a complex task because physical systems, such as chemical reactors and wind turbines, are often hard to model and because drift in process dynamics

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Shared by AWS Machine Learning September 7, 2023

Run multiple generative AI models on GPU using Amazon SageMaker multi-model endpoints with TorchServe and save up to 75% in inference costs

Favorite Multi-model endpoints (MMEs) are a powerful feature of Amazon SageMaker designed to simplify the deployment and operation of machine learning (ML) models. With MMEs, you can host multiple models on a single serving container and host all the models behind a single endpoint. The SageMaker platform automatically manages the

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Shared by AWS Machine Learning September 6, 2023

Optimize deployment cost of Amazon SageMaker JumpStart foundation models with Amazon SageMaker asynchronous endpoints

Favorite The success of generative AI applications across a wide range of industries has attracted the attention and interest of companies worldwide who are looking to reproduce and surpass the achievements of competitors or solve new and exciting use cases. These customers are looking into foundation models, such as TII

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Shared by AWS Machine Learning September 5, 2023

How Carrier predicts HVAC faults using AWS Glue and Amazon SageMaker

Favorite In their own words, “In 1902, Willis Carrier solved one of mankind’s most elusive challenges of controlling the indoor environment through modern air conditioning. Today, Carrier products create comfortable environments, safeguard the global food supply, and enable safe transport of vital medical supplies under exacting conditions.” At Carrier, the

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Shared by AWS Machine Learning September 5, 2023

Build a generative AI-based content moderation solution on Amazon SageMaker JumpStart

Favorite Content moderation plays a pivotal role in maintaining online safety and upholding the values and standards of websites and social media platforms. Its significance is underscored by the protection it provides users from exposure to inappropriate content, safeguarding their well-being in digital spaces. For example, in the advertising industry,

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Shared by AWS Machine Learning September 5, 2023

Elevating the generative AI experience: Introducing streaming support in Amazon SageMaker hosting

Favorite We’re excited to announce the availability of response streaming through Amazon SageMaker real-time inference. Now you can continuously stream inference responses back to the client when using SageMaker real-time inference to help you build interactive experiences for generative AI applications such as chatbots, virtual assistants, and music generators. With

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Shared by AWS Machine Learning September 1, 2023