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可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I asked this question earlier, but am still unable to get it working. I am trying to install custom packages upon starting R. A lot of the code that is written by us right now is available for editing to the users. To try and protect the code, I am packaging the production level code and having the users install it on their machine during start up. However, when I try to install packages in RProfile.site file, the program goes into a loop and R is constantly launched over and over. I noticed that a lock file for the package is created along

目录 前言 一、Attention Is All You Need Attention机制 Transformer 成绩 二、Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Vanilla Transformer 循环机制 相对位置编码 Transformer-XL 成绩 RECL 三、XLNet: Generalized Autoregressive Pretraining for Language Understanding BERT 有序因子排列 双流自注意力 XLNet 成绩 预训练参数 前言 正当 GPT-2 还拿着 15 亿参数的模型吊着人们的胃口时，XLNet 带着开源的代码和 20 项 SOTA 的成绩悄悄发布了。从 BERT 到 XLNet，大一统预训练模型的成功，无疑昭示着行业的快速进步。现在是最好的时机。回到正题，本文虽篇幅较长，但能提供不一样的视角，帮你迅速理清模型的细节。废话不多说，笔者这就将带你快速品读，XLNet 诞生之路上最重要的三篇论文： Attention Is All You Need (12 Jun. 2017) Transformer-XL: Attentive Language Models Beyond a Fixed-Length