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Which technique customizes large models at low cost by tuning only a subset of low-rank parameters or adapter layers?
①Fine-tuning all parameters
②Instruction adjustment
③Data augmentation
④Parameter-efficient fine-tuning using LoRA and adapters
⑤Zero-shot learning