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In the case of supervised Discovering, the trainers played either side: the user as well as the AI assistant. While in the reinforcement learning phase, human trainers first ranked responses that the model experienced produced in the former conversation.[21] These rankings have been utilized to generate "reward styles" that were accustomed to high-