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Amazon SageMaker Automatic Model Tuning now automatically chooses tuning configurations to improve usability and cost efficiency

AWS Machine Learning

This provides an accelerated and more efficient way to find hyperparameter ranges, and can provide significant optimized budget and time management for your automatic model tuning jobs. Autotune is a new feature of automatic model tuning that helps save you time and reduce wasted resources on finding optimal hyperparameter ranges.

APIs 76
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Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization

AWS Machine Learning

Manage Amazon SageMaker endpoints – Similarly, for organizations that aim for inference type selection and endpoints running time management, you can deploy open source models on Amazon SageMaker. With cost categories, you can organize your costs using a rule-based engine.

Finance 81