diff --git a/README.md b/README.md
index b1fdcf9..25978ba 100644
--- a/README.md
+++ b/README.md
@@ -6,19 +6,35 @@ The functionality shown here serves as an interface to the ChatGPT and DALL·E A
 
 Some of the current LLMs supported are:
 - gpt-3.5-turbo, gpt-3.5-turbo-1106
-- gpt-4, gpt-4-1106-preview
+- gpt-4, gpt-4-turbo, gpt-4-1106-preview
 - gpt-4-vision-preview (a.k.a. GPT-4 Turbo with Vision)
 - dall-e-2, dall-e-3
 
 For details on the specification of each model, check the official [OpenAI documentation](https://platform.openai.com/docs/models).
 
+## Requirements
+
+### MathWorks Products (https://www.mathworks.com)
+
+- Requires MATLAB release R2024a or newer.
+- Some examples require Text Analytics Toolbox™.
+
+### 3rd Party Products:
+
+- An active OpenAI API subscription and API key.
+
 ## Setup
 
-If you would like to use this repository with MATLAB Online, simply click [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=matlab-deep-learning/llms-with-matlab)
+### MATLAB Online
+
+To use this repository with MATLAB Online, click [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=matlab-deep-learning/llms-with-matlab)
+
 
-If you would like to use it with MATLAB Desktop, proceed with the following steps:
+### MATLAB Desktop
 
-1. Clone the repository to your local machine.
+To use this repository with a local installation of MATLAB, first clone the repository. 
+
+1. In the system command prompt, run:
 
     ```bash
     git clone https://github.com/matlab-deep-learning/llms-with-matlab.git
@@ -32,7 +48,9 @@ If you would like to use it with MATLAB Desktop, proceed with the following step
     addpath('path/to/llms-with-matlab');
     ```
 
-4. Set up your OpenAI API key. Create a `.env` file in the project root directory with the following content.
+### Setting up your API key
+
+Set up your OpenAI API key. Create a `.env` file in the project root directory with the following content.
 
     ```
     OPENAI_API_KEY=<your key>
@@ -44,15 +62,6 @@ If you would like to use it with MATLAB Desktop, proceed with the following step
     loadenv(".env")
     ```
 
-### MathWorks Products (https://www.mathworks.com)
-
-- Requires MATLAB release R2023a or newer.
-
-### 3rd Party Products:
-
-- An active OpenAI API subscription and API key.
-
-
 ## Getting Started with Chat Completion API
 
 To get started, you can either create an `openAIChat` object and use its methods or use it in a more complex setup, as needed.
@@ -320,15 +329,16 @@ imshow(images{1})
 ## Examples
 To learn how to use this in your workflows, see [Examples](/examples/).
 
-- [ExampleStreaming.mlx](/examples/ExampleStreaming.mlx): Learn to implement a simple chat that stream the response. 
-- [ExampleSummarization.mlx](/examples/ExampleSummarization.mlx): Learn to create concise summaries of long texts with ChatGPT. (Requires Text Analytics Toolbox™)
-- [ExampleChatBot.mlx](/examples/ExampleChatBot.mlx): Build a conversational chatbot capable of handling various dialogue scenarios using ChatGPT. (Requires Text Analytics Toolbox)
-- [ExampleFunctionCalling.mlx](/examples/ExampleFunctionCalling.mlx): Learn how to create agents capable of executing MATLAB functions. 
+- [ProcessGeneratedTextinRealTimebyUsingChatGPTinStreamingMode.mlx](/examples/ProcessGeneratedTextinRealTimebyUsingChatGPTinStreamingMode.mlx): Learn to implement a simple chat that stream the response. 
+- [SummarizeLargeDocumentsUsingChatGPTandMATLAB.mlx](/examples/SummarizeLargeDocumentsUsingChatGPTandMATLAB.mlx): Learn to create concise summaries of long texts with ChatGPT. (Requires Text Analytics Toolbox™)
+- [CreateSimpleChatBot.mlx](/examples/CreateSimpleChatBot.mlx): Build a conversational chatbot capable of handling various dialogue scenarios using ChatGPT. (Requires Text Analytics Toolbox)
+- [AnalyzeScientificPapersUsingFunctionCalls.mlx](/examples/AnalyzeScientificPapersUsingFunctionCalls.mlx): Learn how to create agents capable of executing MATLAB functions. 
 - [ExampleParallelFunctionCalls.mlx](/examples/ExampleParallelFunctionCalls.mlx): Learn how to take advantage of parallel function calling. 
-- [ExampleRetrievalAugmentedGeneration.mlx](/examples/ExampleRetrievalAugmentedGeneration.mlx): Learn about retrieval augmented generation with a simple use case. (Requires Text Analytics Toolbox™)
-- [ExampleGPT4Vision.mlx](/examples/ExampleGPT4Vision.mlx): Learn how to use GPT-4 Turbo with Vision to understand the content of an image. 
-- [ExampleJSONMode.mlx](/examples/ExampleJSONMode.mlx): Learn how to use JSON mode in chat completions
-- [ExampleDALLE.mlx](/examples/ExampleDALLE.mlx): Learn how to generate images, create variations and edit the images. 
+- [RetrievalAugmentedGenerationUsingChatGPTandMATLAB.mlx](/examples/RetrievalAugmentedGenerationUsingChatGPTandMATLAB.mlx): Learn about retrieval augmented generation with a simple use case. (Requires Text Analytics Toolbox™)
+- [DescribeImagesUsingChatGPT.mlx](/examples/DescribeImagesUsingChatGPT.mlx): Learn how to use GPT-4 Turbo with Vision to understand the content of an image. 
+- [AnalyzeSentimentinTextUsingChatGPTinJSONMode.mlx](/examples/AnalyzeSentimentinTextUsingChatGPTinJSONMode.mlx): Learn how to use JSON mode in chat completions
+- [UsingDALLEToEditImages.mlx](/examples/UsingDALLEToEditImages.mlx): Learn how to generate images
+- [UsingDALLEToGenerateImages.mlx](/examples/UsingDALLEToGenerateImages.mlx): Create variations of images and editimages. 
 
 ## License