Direct Preference Optimization (DPO) in AI

As artificial intelligence systems become more advanced, there is a growing need to align them with human values and preferences. Direct preference optimization (DPO) is an approach that allows AI systems to learn directly from human judgments, without the need for explicit rewards or objectives. Here is an overview of how DPO works and why it is important for AI alignment.