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Computer Science > Artificial Intelligence

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By Yash Mahajan, Vepaul Hariprashad, Baha Rababah
| arxiv.org
Full fine-tuning remains a strong way to adapt pretrained LLMs, but it updates all weights and can be expensive. LoRA reduces the number of trainable parameters, but it does not directly answer which pretrained components should be trained and which can be frozen during adaptation.
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