What is Direct Preference Optimization (DPO)?
Direct Preference Optimization (DPO) is a subfield of machine learning and artificial intelligence that focuses on directly optimizing the performance of a system based on user preferences like "thumbs up" or "thumbs down," rather than relying on a pre-defined objective function. In this method, the system learns to optimize its outputs to better match the users’ preferences, thereby delivering more personalized results.