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Artificial Intelligence is revolutionizing the way we create and consume content. In 2025, we're witnessing unprecedented advances in AI that are transforming the content creation landscape.
This paper proposes Gradient-Surgical (GSPF), a novel parameter-efficient fine-tuning method that dynamically freezes non-sensitive parameters based on gradient analysis. Unlike existing structured adaptation methods (e.g., LoRA), GSPF requires no prior assumptions about parameter update patterns.
