我在《把离线AI智能体装进口袋里》（The Dawn of Offline AI Agents in Your Pocket）一文中对此进行了详细阐述。但文章中的示例更像是Demo，而非生产解决方案。像 Gemma 3n 这样的模型虽然能够很好地处理函数调用，但它们体积过大：无法集成到应用程序包中，需要单独下载，即使在旗舰机型上推理速度也很慢。在低端设备上，它们根本无法运行。而较小的型号则经常出现故障，难以记住工具。
1. Weight by max same-font SSIM, not binary membership. If any font produces SSIM = 0.999, the pair is maximum risk regardless of how it scores in other fonts. Users do not control which font their browser chooses. The 82 pixel-identical pairs should be treated as definite blocks. The 49 high-scoring pairs should be treated as likely blocks. The 611 low-scoring pairs can be treated as informational warnings rather than hard rejections.，详情可参考一键获取谷歌浏览器下载
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Александра Качан (Редактор)