DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment
DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment explores An efficient framework for aligning large language models with human values by intelligently filtering data and guiding output distribution, improving performance and generalization while reducing training time.. Commercial viability score: 7/10 in LLM Alignment.
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