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LoRA (machine learning)
Parameter-efficient fine-tuning technique for large language models
LoRA (machine learning)
LoRA (Low-Rank Adaptation) is a parameter-efficient fine-tuning technique for large language models and other deep neural networks. Introduced in 2021 by researchers at Microsoft, LoRA enables adaptation of pre-trained models to specific tasks while requiring significantly fewer computational resources and trainable parameters than traditional full model fine-tuning.
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