Wang Xinming

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确实,此处有部分错误需要勘误: 卷积层以及全连接层的参数内存占用往往取决去他们的参数量: ![Snipaste_2023-12-27_15-27-04](https://github.com/datawhalechina/d2l-ai-solutions-manual/assets/97574250/4cd3daa6-ab03-4b48-8942-9acbf9a636c6) 从含参量也可以看出是全连接层的内存占用更大。

现在这个问题解决了吗请问

Hello! Have you solve it now? We I use text-embedding-3-large to generate_text_embeddings, I encountered the same errors and I wonder how to solve it