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@ -1,5 +1,9 @@
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# README
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深度解析Transformer(大模型场景),提供图、代码等,力求每个人都能吃透它。
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有疑惑的地方欢迎issue或邮件我,😀Enjoin!
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### 学习章节:
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<ul>
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@ -13,4 +17,3 @@
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<li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E5%85%AD%E7%AB%A0%E2%80%94%E2%80%94%E6%95%B0%E5%80%BC%E7%BC%A9%E6%94%BE.md'>第六章——数值缩放</a>
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<li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E4%B8%83%E7%AB%A0%E2%80%94%E2%80%94%E5%89%8D%E9%A6%88%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.md'>第七章——前馈神经网络</a>
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<li><a href='https://github.com/ben1234560/AiLearning-Theory-Applying/blob/master/%E4%BA%BA%E4%BA%BA%E9%83%BD%E8%83%BD%E7%9C%8B%E6%87%82%E7%9A%84Transformer/%E7%AC%AC%E5%85%AB%E7%AB%A0%E2%80%94%E2%80%94%E6%9C%80%E5%90%8E%E7%9A%84%E8%BE%93%E5%87%BA.md'>第八章——最后的输出</a>
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