Browsing: Direct Preference Optimization

Direct Preference Optimization (DPO) is a new algorithm that uses a simple classification loss to fine-tune Language Models (LMs) for specific tasks, eliminating the…

Stanford researchers have introduced Direct Preference Optimization (DPO), a streamlined method for training large language models (LLMs) that simplifies reinforcement learning and enables finer…