Miscellaneous doc fixes

* Remove git clone from README
* Remove gpt-3.5 and gpt-4 from azureChat.md
* More helpful link in openAIChat.md

For information about supported models, link directly to OpenAI doc instead of linking to our OpenAI.md which then links to the OpenAI doc.

* fixed "ReponseFormat" typo

Author: MiriamScharnke

README.md

@@ -40,19 +40,7 @@ The recommended way of using the add-on on an installed version of MATLAB is to
 1. In MATLAB, go to the **Home** tab, and in the **Environment** section, click the **Add\-Ons** icon.
 2. In the Add\-On Explorer, search for "Large Language Models (LLMs) with MATLAB".
 3. Select **Install**.
-## Install by Cloning GitHub Repository
 
-Alternatively, to use the add-on on an installed version of MATLAB, you can clone the GitHub repository. In the MATLAB Command Window, run this command:
-
-```
->> !git clone https://github.com/matlab-deep-learning/llms-with-matlab.git
-```
-
-To run code from the add-on outside of the installation directory, if you install the add-on by cloning the GitHub repository, then you must add the path to the installation directory.
-
-```
->> addpath("path/to/llms-with-matlab")
-```
 # Get Started with External APIs
 
 For more information about how to connect to the different APIs from MATLAB, including installation requirements, see:

doc/functions/azureChat.md

@@ -113,7 +113,7 @@ The deployment ID, also known as deployment name, specifies the Azure OpenAI dep
 
 Instead of using the `DeploymentID` name\-value argument, you can also set the environment variable AZURE\_OPENAI\_DEPLOYMENT. For more information, see [Azure OpenAI Services API](../Azure.md).
 
-**Example**: `"my-gpt-35-turbo-deployment"`
+**Example**: `"my-gpt-4o-mini-deployment"`
 
 ### `APIVersion` — API Version
 
@@ -207,14 +207,12 @@ To configure the format of the generated JSON file, describe the format using na
 
 The JSON response format is not supported for these models:
 
--  `"gpt-4"` 
--  `"gpt-4-0613"` 
 -  `"o1-mini"` 
 
 #### Structured Output
 
 
-To ensure that the model follows the required format, use structured output. To do this, set `ReponseFormat` to:
+To ensure that the model follows the required format, use structured output. To do this, set `ResponseFormat` to:
 
 -  A string scalar containing a valid JSON Schema.
 -  A structure array containing an example that adheres to the required format, for example: `ResponseFormat=struct("Name","Rudolph","NoseColor",[255 0 0])`
@@ -281,5 +279,5 @@ ans = "The question "Why is a raven like a writing desk?" is a famous nonsensica
 [`generate`](generate.md) | [`openAIChat`](openAIChat.md) | [`ollamaChat`](ollamaChat.md)
 
 
-*Copyright 2024 The MathWorks, Inc.*
+*Copyright 2024-2025 The MathWorks, Inc.*
 

doc/functions/openAIChat.md

@@ -101,7 +101,7 @@ Optionally specify these properties at construction using name\-value arguments.
 Name of the OpenAI model to use for text generation.
 
 
-For information about currently supported models, see [OpenAI API](../OpenAI.md).
+For information about currently supported models, see the OpenAI documentation at [https://platform.openai.com/docs/overview](https://platform.openai.com/docs/overview).
 
 ### `Temperature` — Temperature