CODEWITHSUNDEEP
data-annotationsamazon-sagemakeramazon-ground-truth
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Reputation: 1866

When should you use AWS SageMaker GroundTruth (SMGT) vs AWS Sagemaker Augmented AI (A2I)?

I'm working on building an annotation workflow for my data science team. I see there are conflicting AWS products and it's not clear which one to use for what purpose.

Upvotes: 1

Views: 604

Answers (1)

Shams Larbi
Shams Larbi

Reputation: 171

I guess you have learned by now the difference between SMGT and A2I: " Focus:

  • A2I: Focuses on integrating human review into the decision-making process of models post-prediction.
  • Ground Truth: Focuses on creating high-quality labeled datasets during the training phase.

Stage of ML Workflow:

  • A2I: Used during the model deployment and prediction phase.
  • Ground Truth: Used during the data preparation and model training phase.

Automation:

  • A2I: Adds human review when machine confidence is low.
  • Ground Truth: Combines automated labeling with human corrections to produce accurate training data. "

Note: This is an extract from ChatGPT

Upvotes: 0

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