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Transformers solve these using attention (for alignment), MLPs (for arithmetic), and autoregressive generation (for carry propagation). The question is how small the architecture can be while still implementing all three.
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instantiated with fresh type variables.
36氪此前曾报道PureblueAI清蓝。公司成立于2025年，创始团队成员毕业于清华大学、中科院等高校，曾任字节跳动、阿里巴巴等企业高管和技术专家。