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This article introduces the SLRA (Selective Low-Rank Adaptation) method, a novel parameter-efficient fine-tuning technique aimed at addressing the catastrophic forgetting problem in multimodal large language models.
Section 01
This article introduces the SLRA (Selective Low-Rank Adaptation) method, a novel parameter-efficient fine-tuning technique aimed at addressing the catastrophic forgetting problem in multimodal large language models.
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