AWS Certified AI Practitioner AIF-C01 Practice Question

After fine-tuning a foundation model for text summarization, which evaluation method gives the most objective and repeatable comparison of summarization quality between the fine-tuned and base models?

  • Compare the final training loss values recorded during fine-tuning.

  • Count the total number of tokens produced in a set of summaries.

  • Calculate ROUGE scores on a held-out summarization benchmark dataset.

  • Have an internal reviewer subjectively rate a few example summaries.

AWS Certified AI Practitioner AIF-C01
Applications of Foundation Models
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