决策：顶层设计和问计于民相统一
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I didn’t train a new model. I didn’t merge weights. I didn’t run a single step of gradient descent. What I did was much weirder: I took an existing 72-billion parameter model, duplicated a particular block of seven of its middle layers, and stitched the result back together. No weight was modified in the process. The model simply got extra copies of the layers it used for thinking?。关于这个话题，手游提供了深入分析
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