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問題 9 / 65
Which method is most suitable for efficiently fine-tuning a large language model for the medical domain without updating all of its parameters?
①Full fine-tuning that adjusts all parameters of the foundation model.
②Parameter-efficient low-rank adaptations like LoRA and adapters
③Craft the input using prompt engineering.
④Learn by giving rewards in reinforcement learning.
⑤Group data using clustering.