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In an environment with limited computational resources and scarce domain-specific medical data, which parameter-efficient fine-tuning method is recommended to efficiently adapt a foundation model?
①Full fine-tuning
②LoRA (Low-Rank Adaptation)
③Large-scale data labeling
④Optimization using reinforcement learning
⑤Zero-shot prompt design