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Câu 123: AWS Certified AI Practitioner AIF-C01

A bank has fine-tuned a large language model (LLM) to expedite the loan approval process. During an external audit of the model, the company discovered that the model was approving loans at a faster pace for a specific demographic than for other demographics. How should the bank fix this issue MOST cost-effectively?

Nội dung câu hỏi

A bank has fine-tuned a large language model (LLM) to expedite the loan approval process. During an external audit of the model, the company discovered that the model was approving loans at a faster pace for a specific demographic than for other demographics. How should the bank fix this issue MOST cost-effectively?

Các lựa chọn

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

  1. A. Include more diverse training data. Fine-tune the model again by using the new data. — đáp án hiện tại
  2. B. Use Retrieval Augmented Generation (RAG) with the fine-tuned model.
  3. C. Use AWS Trusted Advisor checks to eliminate bias.
  4. D. Pre-train a new LLM with more diverse training data.

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