UCLA Researchers Introduce Group Preference Optimization (GPO): A Machine Learning-based Alignment Framework that Steers Language Models to Preferences of Individual Groups in a Few-Shot Manner – MarkTechPost
machine learning machine learning deployment
UCLA Researchers Introduce Group Preference Optimization (GPO): A Machine Learning-based Alignment Framework that Steers Language Models to Preferences of Individual Groups in a Few-Shot Manner – MarkTechPost
UCLA Researchers Introduce Group Preference Optimization (GPO): A Machine Learning-based Alignment Framework that Steers Language Models to Preferences of Individual Groups in a Few-Shot Manner  MarkTechPost
machine learning machine learning deployment

UCLA Researchers Introduce Group Preference Optimization (GPO): A Machine Learning-based Alignment Framework that Steers Language Models to Preferences of Individual Groups in a Few-Shot Manner – MarkTechPost

UCLA Researchers Introduce Group Preference Optimization (GPO): A Machine Learning-based Alignment Framework that Steers Language Models to Preferences of Individual Groups in a Few-Shot Manner  MarkTechPost