Multilingual RL Training

Sara and Tim discuss using multilingual data in reinforcement learning training, highlighting the challenges of translation artifacts and how they overcame them by leveraging a high-performing model to generate synthetic pairs. Their innovative approach steered the model away from translation errors, leading to more reliable results in the RLHF project.