fix typos

README.md

@@ -45,10 +45,10 @@ The following constructs are available in the library:
 | **Construct** |Description| AWS Services used |
 |:-------------|:-------------|:-------------|
 | [Data ingestion pipeline](./src/patterns/gen-ai/aws-rag-appsync-stepfn-opensearch/) | Ingestion pipeline providing a RAG (Retrieval Augmented Generation) source for storing documents in a knowledge base. | Amazon OpenSearch, AWS Step Functions, Amazon Bedrock, AWS AppSync, AWS Lambda | 
-| [Question answering](./src/patterns/gen-ai/aws-qa-appsync-opensearch/) | Question answering against a Large Language Model (Anthropic Claude V2) using a RAG (Retrieval Augmented Generation) source and/or long context window. | Amazon OpenSearch, AWS Lambda, Amazon Bedrock, AWS AppSync | 
+| [Question answering](./src/patterns/gen-ai/aws-qa-appsync-opensearch/) | Question answering against a large language model (Anthropic Claude V2) using a RAG (Retrieval Augmented Generation) source and/or long context window. | Amazon OpenSearch, AWS Lambda, Amazon Bedrock, AWS AppSync | 
 | [Summarization](./src/patterns/gen-ai/aws-summarization-appsync-stepfn/) | Document summarization using a Large Language Model (Anthropic Claude V2). | AWS Lambda, Amazon Bedrock, AWS AppSync and Amazon Elasticache for Redis.  |
 | [Lambda layer](./src/patterns/gen-ai/aws-langchain-common-layer/) | Python lambda layer providing dependencies and utilities to develop Generative AI applications on AWS. | AWS Lambda, Amazon Bedrock, Amazon SageMaker | 
-| [SageMaker model deployment](./src/patterns/gen-ai/aws-model-deployment-sagemaker/) | Deploy a Large Language model from Amazon Jumpstart or Hugging Face to an Amazon SageMaker endpoint. | Amazon SageMaker | 
+| [SageMaker model deployment](./src/patterns/gen-ai/aws-model-deployment-sagemaker/) | Deploy a foundation model from Amazon SageMaker JumpStart or Hugging Face to an Amazon SageMaker endpoint. | Amazon SageMaker | 
 
 # Sample Use Cases
 

src/patterns/gen-ai/aws-model-deployment-sagemaker/README.md

@@ -34,7 +34,7 @@
 
 ## Overview
 
-Two constructs are provided here to simplify the deployment of Large Language Models on Amazon SageMaker from two different hubs:
+Two constructs are provided here to simplify the deployment of foundation models on Amazon SageMaker from two different hubs:
 - Models from SageMaker Foundation Models / SageMaker JumpStart
 - Models supported by [Hugging Face LLM Inference Container for Amazon SageMaker](https://huggingface.co/blog/sagemaker-huggingface-llm)