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您好,p-tuning v2是将prompt embeddings通过past_key_values加到模型的每一层;看了prefix tuning的代码,也是通过past_key_values加到了模型的每一层。请问一下, p-tuning v2跟prefix tuning的区别在哪里呢?琢磨了好久都没有明白。
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大胆些就是一摸一样
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我也是研究了很久。。。发现就是一模一样。。。
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您好,p-tuning v2是将prompt embeddings通过past_key_values加到模型的每一层;看了prefix tuning的代码,也是通过past_key_values加到了模型的每一层。请问一下, p-tuning v2跟prefix tuning的区别在哪里呢?琢磨了好久都没有明白。
The text was updated successfully, but these errors were encountered: