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In the case of supervised learning, the trainers played either side: the consumer plus the AI assistant. While in the reinforcement learning phase, human trainers first ranked responses which the model experienced created in a preceding conversation.[15] These rankings had been made use of to build "reward models" which were accustomed to fine-tune