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Câu 23: AWS Certified Generative AI Developer - Professional AIP-C01

A company uses Amazon Bedrock to generate technical content for customers. The company has recently experienced a surge in hallucination outputs when the company's model generates summaries of long technical documents. The model outputs include inaccurate or fabricated details. The company's current solution uses a la…

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A company uses Amazon Bedrock to generate technical content for customers. The company has recently experienced a surge in hallucination outputs when the company's model generates summaries of long technical documents. The model outputs include inaccurate or fabricated details. The company's current solution uses a large foundation model (FM) with a basic one-shot prompt that includes the full document in a single input. The company needs a solution that will reduce hallucinations and meet factual accuracy goals. The solution must process more than 1,000 documents each hour and deliver summaries within 3 seconds for each document. Which combination of solutions will meet these requirements? (Choose two.)

Các lựa chọn

Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.

  1. A. Implement zero-shot chain-of-thought (CoT) instructions that require step-by-step reasoning with explicit fact verification before the model generates each summary. — đáp án hiện tại
  2. B. Use Retrieval Augmented Generation (RAG) with an Amazon Bedrock knowledge base. Apply semantic chunking and tuned embeddings to ground summaries in source content. — đáp án hiện tại
  3. C. Configure Amazon Bedrock guardrails to block any generated output that matches patterns that are associated with hallucinated content.
  4. D. Increase the temperature parameter in Amazon Bedrock.
  5. E. Prompt the Amazon Bedrock model to summarize each full document in one pass.

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