Abstract: Goal: This paper investigates using Low-Rank Adaptation (LoRA) to adapt large vision models (LVMs) pretrained with self-supervised learning (SSL) for lung nodule malignancy classification.

Abstract: The realm of large language models has witnessed a paradigm shift with the advent of Low-Rank Adaptation (LoRA), a technique that strikes a delicate balance between computational efficiency ...

This week's paper is LoRA: Low-Rank Adaptation of Large Language Models.

2408.04556 Authors: Yupeng Chang (1), Yi Chang (1,2,3), Yuan Wu (1,2) (School of Artificial Intelligence, Jilin University), Key Laboratory of Symbolic Computation and Knowledge Engineering, Jilin ...

Researchers at Intel Labs and Intel Corporation have introduced an approach integrating low-rank adaptation (LoRA) with neural architecture search (NAS) techniques. This method seeks to address the ...

MediaTek Dimensity 9400 is the first mobile chipset to support on-device LoRA (Low-Rank Adaptation of Large Language Models) training, enabling better AI performance without needing constant cloud ...

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