Rank-1 linear, factorized embed, sparse gate, param-free norm, low-rank head
Plan for iterative improvement rather than expecting immediate perfection. AIO is still an emerging practice without definitive best practices etched in stone. You'll make mistakes, try things that don't work, and occasionally optimize for factors that turn out not to matter. This experimentation is part of the learning process. What matters is systematic iteration—trying approaches, measuring results, adjusting based on feedback, and gradually improving your effectiveness over time.
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这个过程中产生的价值，体现在推理轨迹，而推理轨迹是很难通过蒸馏习得的——至少现在是这样。，推荐阅读im钱包官方下载获取更多信息
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