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easyManaged Vs Custom Training
A team is starting a new ML project using standard PyTorch fine-tuning of a BERT model on a tabular text classification task. They are deciding between SageMaker managed training and self-managed EC2. Which criterion most strongly favors managed training for this team?
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  • 1.Concepts over memorization.
  • 2.Identify trade-offs in every solution.