diff --git a/README.md b/README.md
index 9d9e5f4..11f9bfa 100644
--- a/README.md
+++ b/README.md
@@ -80,8 +80,6 @@ sudo yum install sox sox-devel
 
 We strongly recommend that you download our pretrained `CosyVoice2-0.5B` `CosyVoice-300M` `CosyVoice-300M-SFT` `CosyVoice-300M-Instruct` model and `CosyVoice-ttsfrd` resource.
 
-If you are expert in this field, and you are only interested in training your own CosyVoice model from scratch, you can skip this step.
-
 ``` python
 # SDK模型下载
 from modelscope import snapshot_download
@@ -118,7 +116,7 @@ pip install ttsfrd-0.4.2-cp310-cp310-linux_x86_64.whl
 **Basic Usage**
 
 We strongly recommend using `CosyVoice2-0.5B` for better performance.
-For zero_shot/cross_lingual inference, please use `CosyVoice-300M` model.
+For zero_shot/cross_lingual inference, please use `CosyVoice2-0.5B` `CosyVoice-300M` model.
 For sft inference, please use `CosyVoice-300M-SFT` model.
 For instruct inference, please use `CosyVoice-300M-Instruct` model.
 
@@ -182,7 +180,6 @@ for i, j in enumerate(cosyvoice.inference_instruct('在面对挑战时，他展
 **Start web demo**
 
 You can use our web demo page to get familiar with CosyVoice quickly.
-We support sft/zero_shot/cross_lingual/instruct inference in web demo.
 
 Please see the demo website for details.
 
@@ -194,12 +191,11 @@ python3 webui.py --port 50000 --model_dir pretrained_models/CosyVoice-300M
 **Advanced Usage**
 
 For advanced user, we have provided train and inference scripts in `examples/libritts/cosyvoice/run.sh`.
-You can get familiar with CosyVoice following this recipie.
 
 **Build for deployment**
 
-Optionally, if you want to use grpc for service deployment,
-you can run following steps. Otherwise, you can just ignore this step.
+Optionally, if you want service deployment,
+you can run following steps.
 
 ``` sh
 cd runtime/python