AWS AI Practitioner
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?
A
Include more diverse training data. Fine-tune the model again by using the new data.
✓ Correcta
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.