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Agents trained with the Preference Tree Optimization framework achieve unprecedented improvements in goal-oriented dialogue, outperforming traditional methods in both satisfaction and strategic planning.
Current language models can't grasp the meaning of "break a leg" if you ask them to retrieve documents about "wishing someone good luck," revealing a surprising lack of semantic abstraction.
