0 Best Machine Learning Algorithms with Efficient Fine-Tuning by Score

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Optimization techniques that enable rapid adaptation of pre-trained models to new tasks with minimal computational resources. Efficient fine-tuning methods leverage parameter-efficient techniques such as adapter layers, LoRA, and prompt tuning to customize large pre-trained models for specific tasks while requiring significantly less computational power and training time than full model retraining.

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