AWS Certification Exam AI Practitioner (Practice Questions) set8

問題 12 / 65

For a summarization task of long reviews that often requires frequently consulting external factual information, which approach best balances incorporating important facts with maintaining accuracy?

It's sufficient to simply fine-tune on a small dataset.
Generate content by retrieving relevant documents using Retrieval-Augmented Generation (RAG).
Let a large general-purpose model handle it in a zero-shot manner.
Use only extractive summaries and avoid generation.
Ensure factuality solely through model distillation.

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