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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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As was already mentioned several times, a module should be easily replaceable. Even if there are several other modules dependent on it, having a clear, public API enables us to replace the module by a new implementation. There are also some other considerations, e.g. related to bootstrapping of the module, but the clear API is by far the most important one.。业内人士推荐搜狗输入法2026作为进阶阅读
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