Sarvam的工程师首先重新设计了tokenizer——这是大模型处理文字的最底层组件。现有的主流tokenizer对印度文字效率极低,处理梵文、泰米尔文、孟加拉文这类非拉丁字母体系时,需要消耗比英文多出数倍的token。Sarvam重新训练的tokenizer,对印度文字的处理效率提升了三到四倍。这一步没有任何可见度,不会出现在发布会的PPT上,但它决定了后续所有训练的成本和效率。
efficiency that is difficult to find elsewhere.
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Семен Александров (руководитель международного отдела)
AI撰写需求,AI生成内容,形成了奇特的循环链条。但这种模式真具实质意义吗?遍地开花的智能助手真能实现生产力倍增?
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