What are LoRA and QLoRA, and how do they enable efficient fine-tuning of large language models? What are the trade-offs compared to full fine-tuning?

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LoRA and QLoRA are parameter-efficient fine-tuning techniques that adapt large language models to specific tasks without modifying all model weights. They dramatically reduce the computational resources required for fine-tuning, making it feasible to customize even the largest…