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In the case of supervised Discovering, the trainers played both sides: the consumer along with the AI assistant. during the reinforcement Discovering stage, human trainers 1st ranked responses the design had produced in a very former conversation.[15] These rankings ended up applied to build "reward designs" which were used to great-tune the model