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AI & Machine Learning · Foundational

Ground Truth

The verified correct answer or label used to train and evaluate models.

Definition

Ground truth represents reality as best it can be established, typically through expert human annotation or observed outcomes. It is used as training labels and as the reference against which predictions are scored. In generative AI evaluation, ground-truth reference answers enable metrics such as exact match and ROUGE.

Example

Radiologist-confirmed diagnoses used to evaluate an imaging model.

Exam tip

Amazon SageMaker Ground Truth is the AWS service for building labeled datasets.

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