diff --git a/README.md b/README.md
index 8654c6f6033ff2acdca209d09497bf79556ab5e5..67b72285e0d5ccb1cb8086f95636c6a2426388fa 100644
--- a/README.md
+++ b/README.md
@@ -99,16 +99,6 @@ Note: This demo needs paddle-serving-server-gpu.
```
-Some Key Features
-
-- Integrate with Paddle training pipeline seamlessly, most paddle models can be deployed **with one line command**.
-- **Industrial serving features** supported, such as models management, online loading, online A/B testing etc.
-- **Distributed Key-Value indexing** supported which is especially useful for large scale sparse features as model inputs.
-- **Highly concurrent and efficient communication** between clients and servers supported.
-- **Multiple programming languages** supported on client side, such as Golang, C++ and python.
-- **Extensible framework design** which can support model serving beyond Paddle.
-
-
Quick Start Example
### Boston House Price Prediction model
@@ -166,78 +156,14 @@ print(fetch_map)
```
Here, `client.predict` function has two arguments. `feed` is a `python dict` with model input variable alias name and values. `fetch` assigns the prediction variables to be returned from servers. In the example, the name of `"x"` and `"price"` are assigned when the servable model is saved during training.
-More Demos
-
-| Key | Value |
-| :----------------- | :----------------------------------------------------------- |
-| Model Name | Bert-Base-Baike |
-| URL | [https://paddle-serving.bj.bcebos.com/bert_example/bert_seq128.tar.gz](https://paddle-serving.bj.bcebos.com/bert_example%2Fbert_seq128.tar.gz) |
-| Client/Server Code | https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/bert |
-| Description | Get semantic representation from a Chinese Sentence |
-
-
-
-| Key | Value |
-| :----------------- | :----------------------------------------------------------- |
-| Model Name | Resnet50-Imagenet |
-| URL | [https://paddle-serving.bj.bcebos.com/imagenet-example/ResNet50_vd.tar.gz](https://paddle-serving.bj.bcebos.com/imagenet-example%2FResNet50_vd.tar.gz) |
-| Client/Server Code | https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/imagenet |
-| Description | Get image semantic representation from an image |
-
-
-
-| Key | Value |
-| :----------------- | :----------------------------------------------------------- |
-| Model Name | Resnet101-Imagenet |
-| URL | https://paddle-serving.bj.bcebos.com/imagenet-example/ResNet101_vd.tar.gz |
-| Client/Server Code | https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/imagenet |
-| Description | Get image semantic representation from an image |
-
-
-
-| Key | Value |
-| :----------------- | :----------------------------------------------------------- |
-| Model Name | CNN-IMDB |
-| URL | https://paddle-serving.bj.bcebos.com/imdb-demo/imdb_model.tar.gz |
-| Client/Server Code | https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/imdb |
-| Description | Get category probability from an English Sentence |
-
-
-
-| Key | Value |
-| :----------------- | :----------------------------------------------------------- |
-| Model Name | LSTM-IMDB |
-| URL | https://paddle-serving.bj.bcebos.com/imdb-demo/imdb_model.tar.gz |
-| Client/Server Code | https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/imdb |
-| Description | Get category probability from an English Sentence |
-
-
-
-| Key | Value |
-| :----------------- | :----------------------------------------------------------- |
-| Model Name | BOW-IMDB |
-| URL | https://paddle-serving.bj.bcebos.com/imdb-demo/imdb_model.tar.gz |
-| Client/Server Code | https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/imdb |
-| Description | Get category probability from an English Sentence |
-
-
-
-| Key | Value |
-| :----------------- | :----------------------------------------------------------- |
-| Model Name | Jieba-LAC |
-| URL | https://paddle-serving.bj.bcebos.com/lac/lac_model.tar.gz |
-| Client/Server Code | https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/lac |
-| Description | Get word segmentation from a Chinese Sentence |
-
-
-
-| Key | Value |
-| :----------------- | :----------------------------------------------------------- |
-| Model Name | DNN-CTR |
-| URL | https://paddle-serving.bj.bcebos.com/criteo_ctr_example/criteo_ctr_demo_model.tar.gz |
-| Client/Server Code | https://github.com/PaddlePaddle/Serving/tree/develop/python/examples/criteo_ctr |
-| Description | Get click probability from a feature vector of item |
+Some Key Features of Paddle Serving
+- Integrate with Paddle training pipeline seamlessly, most paddle models can be deployed **with one line command**.
+- **Industrial serving features** supported, such as models management, online loading, online A/B testing etc.
+- **Distributed Key-Value indexing** supported which is especially useful for large scale sparse features as model inputs.
+- **Highly concurrent and efficient communication** between clients and servers supported.
+- **Multiple programming languages** supported on client side, such as Golang, C++ and python.
+- **Extensible framework design** which can support model serving beyond Paddle.
Document