THE EFFECT OF CRANIAL CRUCIATE LIGAMENT RUPTURE ON RANGE OF MOTION IN DOGS




Lottery Rank-Pruning Adaptation Parameter Efficient Fine-Tuning

Recent studies on parameter-efficient fine-tuning (PEFT) have introduced effective and efficient methods for fine-tuning large language models Sheaths, Sleeves (LLMs) on downstream tasks using fewer parameters than required by full fine-tuning.Low-rank decomposition adaptation (LoRA) significantly reduces the parameter count to 0.03% of that in ful

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