Update DS-Chat docs for v0.9.0
diff --git a/blogs/deepspeed-chat/README.md b/blogs/deepspeed-chat/README.md
index 2e69da1dd733..7407b38eee80 100644
--- a/blogs/deepspeed-chat/README.md
+++ b/blogs/deepspeed-chat/README.md
@@ -82,9 +82,7 @@ We start with the easy-to-use experience by showing how you can train OPT-13B an
 We use an example of pretrained OPT-13B as the actor model and OPT-350M as the reward model in the following single script to generate a final 13B ChatGPT-style model:
 
 ```python
-git clone https://github.com/microsoft/DeepSpeed.git
-cd DeepSpeed
-pip install .
+pip install deepspeed>=0.9.0
 
 git clone https://github.com/microsoft/DeepSpeedExamples.git
 cd DeepSpeedExamples/applications/DeepSpeed-Chat/
diff --git a/blogs/deepspeed-chat/chinese/README.md b/blogs/deepspeed-chat/chinese/README.md
index adcaa39c3df8..cc0f30fe0ef9 100644
--- a/blogs/deepspeed-chat/chinese/README.md
+++ b/blogs/deepspeed-chat/chinese/README.md
@@ -78,9 +78,7 @@ DeepSpeed-RLHF 系统在大规模训练中具有无与伦比的效率，使复
 
 以下示例展示了如何使用一个脚本，以预训练的 OPT-13B 作为 actor 模型，OPT-350M 作为 reward 模型，生成一个最终的 130 亿参数的 ChatGPT 类型的模型：
 ```
-git clone https://github.com/microsoft/DeepSpeed.git
-cd DeepSpeed
-pip install .
+pip install deepspeed>=0.9.0
 
 git clone https://github.com/microsoft/DeepSpeedExamples.git
 cd DeepSpeedExamples/applications/DeepSpeed-Chat/
diff --git a/blogs/deepspeed-chat/japanese/README.md b/blogs/deepspeed-chat/japanese/README.md
index 66ff9d9c90cf..8c609a728c1e 100644
--- a/blogs/deepspeed-chat/japanese/README.md
+++ b/blogs/deepspeed-chat/japanese/README.md
@@ -79,9 +79,7 @@ DeepSpeed-RLHFシステムは、大規模モデルの学習において類を見
 以下のスクリプトを実行すると、最終的に130億パラメータのChatGPTライクなモデルが生成されます。
 
 ```python
-git clone https://github.com/microsoft/DeepSpeed.git
-cd DeepSpeed
-pip install .
+pip install deepspeed>=0.9.0
 
 git clone https://github.com/microsoft/DeepSpeedExamples.git
 cd DeepSpeedExamples/applications/DeepSpeed-Chat/
