Discuss strategies for fine-tuning large language models efficiently. Compare full fine-tuning, LoRA, prefix tuning, and prompt tuning. When would you use each approach, and what are the tradeoffs?

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Fine-tuning large language models for specific tasks requires balancing adaptation quality against computational constraints. As models scale to billions of parameters, parameter-efficient fine-tuning methods have become essential, each offering different tradeoffs between…