CurvZO: Adaptive Curvature-Guided Sparse Zeroth-Order Optimization for Efficient LLM Fine-Tuning
CurvZO: Adaptive Curvature-Guided Sparse Zeroth-Order Optimization for Efficient LLM Fine-Tuning explores A novel optimization method for memory-efficient LLM fine-tuning that reduces variance and speeds up convergence using adaptive curvature guidance.. Commercial viability score: 5/10 in LLM Fine-Tuning.
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