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Fine-tuning small language models can be 26.73% more energy-efficient with optimal DVFS settings on embedded GPUs.
QLoRA and BitFit deliver substantial energy savings for fine-tuning vision models without sacrificing accuracy, challenging the notion that more resources always yield better performance.
