A new Stanford research proposes DPO direct preference optimization. It optimizes a policy with a simple cross entropy goal, given a data set of human preferences over model responses. And it's not necessarily clear that this will go beyond math. But I could imagine for many reasoning tasks, you could also have puzzles or planning tasks and all that will still be relevant.

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