Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.
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These exist in confusables.txt because they map to the same abstract character under NFKC decomposition. The map is semantically correct. But from a visual perspective, these are false positives: a human would never confuse Mathematical Fraktur l with plain l.。关于这个话题，搜狗输入法2026提供了深入分析
Nvidia also said it is was planning to launch a robotaxi service by next year in partnership with an unnamed partner.
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