Update README.md

Author: eitansela

README.md

@@ -26,7 +26,7 @@ The repository contains the following resources:
 - **XGBoost resources:**  
 
   - [**Serverless XGBoost Model Serving**](xgboost-inference-docker-lambda):  This examples illustrates how to serve XGBoost model on Lambda Function to predict breast cancer.
-  - [**Train XGBoost built-in algorithm in SageMaker, inference with AWS Lambda**](xgboost-built-in-algo-train-in-sagemaker-deploy-with-lambda):  This examples illustrates how to target Direct Marketing with Amazon SageMaker XGBoost built-in algorithm. You train the model using SageMaker and inference with AWS Lambda.
+  - [**Train XGBoost built-in algorithm in SageMaker, inference with AWS Lambda**](xgboost-built-in-algo-train-in-sagemaker-deploy-with-lambda):  This example illustrates how to target Direct Marketing with Amazon SageMaker XGBoost built-in algorithm. You train the model using SageMaker and inference with AWS Lambda.
 
 - **TensorFlow resources:**  
 
@@ -37,7 +37,11 @@ The repository contains the following resources:
 
   - [**Serverless PyTorch Model Serving**](pytorch-inference-docker-lambda):  This examples illustrates how to serve PyTorch model on Lambda Function for Image Classification.
   - [**Serverless HeBERT Model Serving for sentiment analysis in Hebrew**](hebert-sentiment-analysis-inference-docker-lambda):  This example illustrates how to serve HeBERT model on Lambda Function for sentiment analysis in Hebrew.
-        
+
+- **SageMaker Built-in Algorithms resources:**  
+
+  - [**Train a BlazingText text classification algorithm in SageMaker, inference with AWS Lambda**](blazingtext-text-classification-train-in-sagemaker-deploy-with-lambda):  This example illustrates how to use a BlazingText text classification training with SageMaker, and serving with AWS Lambda..
+          
 - **Deep Java Library (DJL) resources:**  
 
   - [**Serverless Object Detection Model Serving with Deep Java Library (DJL)**](djl-object-detection-inference-docker-lambda):  This example illustrates how to serve TensorFlow Object Detection model on Lambda Function using [Deep Java Library (DJL)](http://djl.ai).

blazingtext-text-classification-train-in-sagemaker-deploy-with-lambda/README.md

@@ -1,6 +1,6 @@
 ## Train a BlazingText text classification algorithm in SageMaker, inference with AWS Lambda
 
-This examples illustrates how to use a BlazingText text classification training with SageMaker, and serving with AWS Lambda.
+This example illustrates how to use a BlazingText text classification training with SageMaker, and serving with AWS Lambda.
 
 This project contains source code and supporting files for a serverless application that you can deploy with the notebook. It includes the following files and folders.
 

tensorflow-train-in-sagemaker-deploy-with-lambda/README.md

@@ -1,6 +1,6 @@
 ## Train a TensorFlow algorithm in SageMaker, inference with AWS Lambda
 
-This examples illustrates how to use a TensorFlow Python script to train a classification model on the MNIST dataset. You train the model using SageMaker and inference with AWS Lambda.
+This example illustrates how to use a TensorFlow Python script to train a classification model on the MNIST dataset. You train the model using SageMaker and inference with AWS Lambda.
 
 This project contains source code and supporting files for a serverless application that you can deploy with the notebook. It includes the following files and folders.