USC Researchers Present Safer-Instruct: A Novel Pipeline for Automatically Constructing Large-Scale Preference Data

Language model alignment is quite important, particularly in a subset of methods from RLHF that have been applied to strengthen the safety and competence of AI systems. Language models are deployed in many applications today, and their outputs can be harmful or biased. Inherent human preference alignment under RLHF ensures that their behaviors are ethical […]

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