AWS Certified AI Practitioner AIF-C01 Practice Question
A company fine-tunes a foundation model on Amazon SageMaker to generate short summaries of internal reports. They need an automated metric that compares the model's summaries with human reference summaries by measuring overlapping n-grams. Which metric should they use?
ROUGE (Recall-Oriented Understudy for Gisting Evaluation) is designed to evaluate text summarization quality by calculating the overlap of n-grams, word sequences, and word pairs between a candidate summary and reference summaries. BLEU is optimized for machine translation, MAE measures numeric prediction error, and Matthews Correlation Coefficient evaluates classification balance. Therefore, ROUGE is the most appropriate metric for summarization tasks that rely on n-gram overlap.
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AWS Certified AI Practitioner AIF-C01
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