Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink
Surgery: Mitigating Harmful Fine-Tuning for Large Language Models via Attention Sink explores A defense mechanism for large language models that utilizes the sink divergence technique to mitigate harmful fine-tuning and improve model safety.. Commercial viability score: 6/10 in AI Safety.
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