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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?
①This will definitely improve the model's generalizability.
②If there is little data, it will never be effective.
③Inference costs automatically decrease.
④It may overfit the training data and suffer reduced generalization performance.
⑤Security vulnerabilities are automatically resolved.