Add vision support to the doc files

Author: ccreutzi

doc/Azure.md

@@ -115,6 +115,19 @@ txt = generate(chat,"What is Model-Based Design and how is it related to Digital
 % Should stream the response token by token
 ```
 
+## Understanding the content of an image
+
+You can use gpt-4o, gpt-4o-mini, or gpt-4-turbo to experiment with image understanding. 
+```matlab
+chat = azureChat("You are an AI assistant.",Deployment="gpt-4o");
+image_path = "peppers.png";
+messages = messageHistory;
+messages = addUserMessageWithImages(messages,"What is in the image?",image_path);
+[txt,response] = generate(chat,messages,MaxNumTokens=4096);
+txt
+% outputs a description of the image
+```
+
 ## Calling MATLAB functions with the API
 
 Optionally, `Tools=functions` can be used to provide function specifications to the API. The purpose of this is to enable models to generate function arguments which adhere to the provided specifications. 

doc/Ollama.md

@@ -96,6 +96,19 @@ txt = generate(chat,"What is Model-Based Design and how is it related to Digital
 % Should stream the response token by token
 ```
 
+## Understanding the content of an image
+
+You can use multimodal models like `llava` to experiment with image understanding. 
+```matlab
+chat = ollamaChat("llava");
+image_path = "peppers.png";
+messages = messageHistory;
+messages = addUserMessageWithImages(messages,"What is in the image?",image_path);
+[txt,response] = generate(chat,messages,MaxNumTokens=4096);
+txt
+% outputs a description of the image
+```
+
 ## Establishing a connection to remote LLMs using Ollama
 
 To connect to a remote Ollama server, use the `Endpoint` name-value pair. Include the server name and port number. Ollama starts on 11434 by default.

doc/OpenAI.md

@@ -250,14 +250,15 @@ You can extract the arguments and write the data to a table, for example.
 
 ## Understanding the content of an image
 
-You can use gpt-4-turbo to experiment with image understanding. 
+You can use gpt-4o, gpt-4o-mini, or gpt-4-turbo to experiment with image understanding. 
 ```matlab
-chat = openAIChat("You are an AI assistant.", ModelName="gpt-4-turbo");
+chat = openAIChat("You are an AI assistant.");
 image_path = "peppers.png";
 messages = messageHistory;
 messages = addUserMessageWithImages(messages,"What is in the image?",image_path);
 [txt,response] = generate(chat,messages,MaxNumTokens=4096);
-% Should output the description of the image
+txt
+% outputs a description of the image
 ```
 
 ## Obtaining embeddings