This AI Paper from KAIST AI Unveils ORPO: Elevating Preference Alignment in Language Models to New Heights

Pre-trained language models (PLMs) have revolutionized artificial intelligence, mimicking human-like understanding and text generation. However, the challenge of aligning these models with human preferences has emerged. In this context, the KAIST AI team introduces a novel approach, Odds Ratio Preference Optimization (ORPO), which promises to revolutionize model alignment and set a new standard for ethical […]

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