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confusable-vision takes the 1,418 TR39 confusable pairs that map a non-Latin character to a Latin target (a-z, 0-9), renders both characters across every available system font, and computes SSIM for each pairing. The output is a scored JSON artifact: one continuous similarity score per pair, per font.

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他同时透露,已有 43 个主流大模型基于昇腾进行预训练,超过 200 个开源模型完成适配,推动 6000 余个解决方案落地。,这一点在heLLoword翻译官方下载中也有详细论述

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