New Method For Efficient LLM Fine-Tuning Detailed
New research suggests that safety measurements for fine-tuned large language models should be grounded in capability. Adapting foundation LLMs to a user's task or preferred style through fine-tuning requires this approach.
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Developing
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Sources · 7 independent
Modernity/arxiv
“Safety Measurements for Fine-tuned LLMs Should be Grounded in Capability. Authors: Krishnapriya Vishnubhotla, Hillary Dawkins, Isar Nejadgholi, Svetlana Kiritchenko Abstract: Adapting foundation large language models to a user's task or preferred style through fine-tuning”
Modernity/arxiv
“DECA: Decentralizing Block-Wise Adam for Efficient LLM Full-Parameter Fine-Tuning on Non-IID Data. Authors: Yunsheng Yuan, Shaowei Li, Kai Wang, Zhongyuan Sun, Zheng Zhang, Kai Han, Jun Luo, Feng Li”
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