AWS Certification Exam AI Practitioner (Practice Questions) set13

問題 4 / 65

Which of the following is the most appropriate risk when fine-tuning a model with a small amount of domain-specific data?

This will definitely improve the model's generalizability.
If there is little data, it will never be effective.
Inference costs automatically decrease.
It may overfit the training data and suffer reduced generalization performance.
Security vulnerabilities are automatically resolved.

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