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In the situation of supervised Understanding, the trainers played both sides: the person and the AI assistant. In the reinforcement Understanding stage, human trainers initial ranked responses the product experienced made in a past conversation.[15] These rankings had been utilized to produce "reward versions" that were used to great-tune the model