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Rank-1 linear, factorized embed, sparse gate, param-free norm, low-rank head
。关于这个话题，搜狗输入法2026提供了深入分析
Trained — weights learned from data by any training algorithm (SGD, Adam, evolutionary search, etc.). The algorithm must be generic — it should work with any model and dataset, not just this specific problem. This encourages creative ideas around data format, tokenization, curriculum learning, and architecture search.
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