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