diff --git a/research/cv/LightCNN/README.md b/research/cv/LightCNN/README.md
index 31a514250a954bba60e79c995568a30dd48875c0..c2d524a5ad416acbe940c0601d84bfb704990b3d 100644
--- a/research/cv/LightCNN/README.md
+++ b/research/cv/LightCNN/README.md
@@ -139,7 +139,7 @@ reduce precision" to view the operators with reduced precision.
 - Generate config json file for 8-card training
     - [Simple tutorial](https://gitee.com/mindspore/models/tree/master/utils/hccl_tools)
     - For detailed configuration method, please refer to
-      the [official website tutorial](https://www.mindspore.cn/tutorials/zh-CN/master/intermediate/distributed_training/distributed_training_ascend.html#id3).
+      the [official website tutorial](https://www.mindspore.cn/docs/programming_guide/en/master/distributed_training_ascend.html#configuring-distributed-environment-variables).
 
 # [Quick start](#Quickstart)
 
diff --git a/research/cv/LightCNN/README_CN.md b/research/cv/LightCNN/README_CN.md
index ed5d873dcd011149c7c960f5c4eae4bfd6d07905..97e91e01043b49c58905a7ea2c6dc889dda439ed 100644
--- a/research/cv/LightCNN/README_CN.md
+++ b/research/cv/LightCNN/README_CN.md
@@ -107,7 +107,7 @@ LightCNN适用于有大量噪声的人脸识别数据集，提出了maxout 的
     - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)
 - 生成config json文件用于8卡训练。
     - [简易教程](https://gitee.com/mindspore/models/tree/master/utils/hccl_tools)
-    - 详细配置方法请参照[官网教程](https://www.mindspore.cn/tutorials/zh-CN/master/intermediate/distributed_training/distributed_training_ascend.html#id3)。
+    - 详细配置方法请参照[官网教程](https://www.mindspore.cn/docs/programming_guide/zh-CN/master/distributed_training_ascend.html#配置分布式环境变量)。
 
 # 快速入门
 
diff --git a/research/cv/vgg19/README.md b/research/cv/vgg19/README.md
index a06b51854d13cfc88d10218dd1b690e4ae878ef3..35bad1b67a2fcbb8cb82596af9204b45a7282e0a 100644
--- a/research/cv/vgg19/README.md
+++ b/research/cv/vgg19/README.md
@@ -440,7 +440,7 @@ train_parallel1/log:epcoh: 2 step: 97, loss is 1.7133579
 ...
 ```
 
-> About rank_table.json, you can refer to the [distributed training tutorial](https://www.mindspore.cn/tutorials/zh-CN/master/distributed_training.html).
+> About rank_table.json, you can refer to the [distributed training tutorial](https://www.mindspore.cn/docs/programming_guide/en/master/distributed_training.html).
 > **Attention** This will bind the processor cores according to the `device_num` and total processor numbers. If you don't expect to run pretraining with binding processor cores, remove the operations about `taskset` in `scripts/run_distribute_train.sh`
 
 ##### Run vgg19 on GPU
diff --git a/research/cv/vgg19/README_CN.md b/research/cv/vgg19/README_CN.md
index 6b1ab01cd379b0f75fbefc7876d93b7860c1beba..b4afd312fc8c901146294917986c0387cf36cec7 100644
--- a/research/cv/vgg19/README_CN.md
+++ b/research/cv/vgg19/README_CN.md
@@ -459,7 +459,7 @@ train_parallel1/log:epcoh: 2 step: 97, loss is 1.7133579
 ...
 ```
 
-> 关于rank_table.json，可以参考[分布式并行训练](https://www.mindspore.cn/tutorials/zh-CN/master/distributed_training.html)。
+> 关于rank_table.json，可以参考[分布式并行训练](https://www.mindspore.cn/docs/programming_guide/zh-CN/master/distributed_training.html)。
 > **注意** 将根据`device_num`和处理器总数绑定处理器核。如果您不希望预训练中绑定处理器内核，请在`scripts/run_distribute_train.sh`脚本中移除`taskset`相关操作。
 
 ##### GPU处理器环境运行VGG19
diff --git a/research/cv/vnet/README_CN.md b/research/cv/vnet/README_CN.md
index 810ff4ba946c3b36cab3e0a2af1574d1f9a9e83b..4e8c4148c8336f0836af088e427656e8001cd0dc 100644
--- a/research/cv/vnet/README_CN.md
+++ b/research/cv/vnet/README_CN.md
@@ -101,7 +101,7 @@ VNet适用于医学图像分割，使用3D卷积，能够处理3D MR图像数据
     - [MindSpore Python API](https://www.mindspore.cn/docs/api/zh-CN/master/index.html)
 - 生成config json文件用于多卡训练。
     - [简易教程](https://gitee.com/mindspore/models/tree/master/utils/hccl_tools)
-    - 详细配置方法请参照[官网教程](https://www.mindspore.cn/tutorials/zh-CN/master/intermediate/distributed_training/distributed_training_ascend.html#id3)。
+    - 详细配置方法请参照[官网教程](https://www.mindspore.cn/docs/programming_guide/zh-CN/master/distributed_training_ascend.html#配置分布式环境变量)。
 
 # 快速入门
 
diff --git a/research/nlp/rotate/README_CN.md b/research/nlp/rotate/README_CN.md
index 58679cc6451c9219aa635791bd51a4258196243e..2c8ae6dd10ccf2b9123184dc966aa528eb7d1d25 100644
--- a/research/nlp/rotate/README_CN.md
+++ b/research/nlp/rotate/README_CN.md
@@ -86,7 +86,7 @@ bash run_infer_310.sh [MINDIR_HEAD_PATH] [MINDIR_TAIL_PATH] [DATASET_PATH] [NEED
 
 在裸机环境（本地有Ascend 910 AI 处理器）进行分布式训练时，需要配置当前多卡环境的组网信息文件。
 请遵循一下链接中的说明创建json文件：
-<https://www.mindspore.cn/tutorials/zh-CN/master/intermediate/distributed_training/distributed_training_ascend.html#id3>
+<https://www.mindspore.cn/docs/programming_guide/zh-CN/master/distributed_training_ascend.html#配置分布式环境变量>
 
 - GPU处理器环境运行