What is DPO?

DPO most likely refers to Direct Preference Optimization. It is a reinforcement learning technique used to train large language models (LLMs). Instead of directly optimizing a reward function, DPO trains the model by contrasting preferred responses with dispreferred responses, making it more stable and efficient than other methods like reinforcement learning from human feedback (RLHF). It's commonly used to align LLMs with human preferences for various tasks.