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Machine Learning Archives - Software Engineering Daily
AWS re:Invent Special: Sagemaker with Ankur Mehrotra
Jan 9, 2024
Ankur Mehrotra, Director and GM of Amazon SageMaker, discusses the evolution of AWS SageMaker and its wide usage in various verticals. They also explore new features like foundation model evaluations and smart load-aware routing, as well as the benefits and future developments of SageMaker.
35:23
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Quick takeaways
- SageMaker HyperPod improves training efficiency with checkpointing, self-healing clusters, and reduced resource wastage.
- Foundation Model Evaluations in Amazon SageMaker assist users in selecting models based on accuracy, toxicity, and bias dimensions.
Deep dives
Introducing Amazon SageMaker and its Journey
Amazon SageMaker is an AWS service for end-to-end machine learning development. It was developed based on Amazon's two-decade-long experience in machine learning and the challenges they faced. SageMaker was built to reduce the burden on developers by providing tools purpose-built for each step of the machine learning lifecycle. It offers extensive integration and solves the problem of connecting different bespoke tools. Tens of thousands of AWS customers are currently using Amazon SageMaker for their machine learning needs.
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