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…
Nội dung câu hỏi
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.
- 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
- 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
- C. Configure Amazon Bedrock guardrails to block any generated output that matches patterns that are associated with hallucinated content.
- D. Increase the temperature parameter in Amazon Bedrock.
- E. Prompt the Amazon Bedrock model to summarize each full document in one pass.
Cộng đồng
0 bình luận công khai. Tên thành viên được ẩn một phần.