DPO (Direct Preference Optimization)

What it is: A method that learns from human preferences by comparing pairs of responses How it works: Like a teacher comparing two student answers and marking which one is better Key benefit: Simpler than traditional reinforcement learning methods Main challenge: Needs lots of paired comparisons