Construct · 1 fields · 1 citations

low-rank adaptation: a standalone construct

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Natural language processing

adapting a large pretrained model by freezing its weights and training small low-rank matrices added to its layers, cutting the trainable parameters sharply.

In natural language processing, low-rank adaptation refers to adapting a large pretrained model by freezing its weights and training small low-rank matrices added to its layers, cutting the trainable parameters sharply. This meaning comes from Hu (2021) in arXiv.[1]

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Nearby constructs

adaptation5 fields · 7 citationsjingle · one word, five constructs model3 fields · 3 citationsjingle · one word, three constructs natural3 fields · 7 citationsjingle · one word, three constructs

References

Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., & Chen, W. (2021). LoRA: Low-Rank Adaptation of Large Language Models. arXiv. https://doi.org/10.48550/arxiv.2106.09685

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