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Accelerate Amazon SageMaker inference with C6i Intel-based Amazon EC2 instances

AWS Machine Learning

Overview of the technology EC2 C6i instances are powered by third-generation Intel Xeon Scalable processors (also called Ice Lake) with an all-core turbo frequency of 3.5 Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions.

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Auto-labeling module for deep learning-based Advanced Driver Assistance Systems on AWS

AWS Machine Learning

AV/ADAS teams need to label several thousand frames from scratch, and rely on techniques like label consolidation, automatic calibration, frame selection, frame sequence interpolation, and active learning to get a single labeled dataset. This includes scripts for model loading, inference handling etc.

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Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services

AWS Machine Learning

Evaluating these models allows continuous model improvement, calibration and debugging. Amazon SageMaker MLOps lifecycle As the post “ MLOps foundation roadmap for enterprises with Amazon SageMaker ” describes, MLOps is the combination of processes, people, and technology to productionise ML use cases efficiently.

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Run secure processing jobs using PySpark in Amazon SageMaker Pipelines

AWS Machine Learning

SageMaker Processing jobs allow you to specify the private subnets and security groups in your VPC as well as enable network isolation and inter-container traffic encryption using the NetworkConfig.VpcConfig request parameter of the CreateProcessingJob API. We provide examples of this configuration using the SageMaker SDK in the next section.

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What Does Digital Transformation Look Like for Contact Centers?

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Technology of Digital Transformation. Digital transformation is a widely encompassing evolution of not just the technology, infrastructure and processes underpinning the contact center but to enable the agents to serve customers more effectively and seamlessly. The How and the Why of Digital Transformation.