diff --git a/examples/ExampleFunctionCalling.m b/examples/ExampleFunctionCalling.m
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+%% Analyze Scientific Papers Using ChatGPT Function Calls
+% This example shows how to extract recent scientific papers from ArXiv, summarize 
+% them using ChatGPT, and write the results to a CSV file using the |openAIFunction| 
+% function.
+%% 
+% * The example contains three steps:
+% * Define a custom function for ChatGPT to use to process its input and output.
+% * Extract papers from ArXiv.
+% * Use ChatGPT to assess whether a paper is relevant to your query, and to 
+% add an entry to the results table if so.
+%% Initialize OpenAI API Function and Chat
+% Use |openAIFunction| to define functions that the model will be able to requests 
+% calls. 
+% 
+% Set up the function to store paper details and initiate a chat with the OpenAI 
+% API with a defined role as a scientific paper expert.
+% 
+% Define the function that you want the model to have access to. In this example 
+% the used function is |writePaperDetails|.
+
+f = openAIFunction("writePaperDetails", "Function to write paper details to a table.");
+f = addParameter(f, "name", type="string", description="Name of the paper.");
+f = addParameter(f, "url", type="string", description="URL containing the paper.");
+f = addParameter(f, "explanation", type="string", description="Explanation on why the paper is related to the given topic.");
+
+chat = openAIChat("You are an expert in filtering scientific papers. " + ...
+    "Given a certain topic, you are able to decide if the paper" + ...
+    " fits the given topic or not.", Tools=f);
+
+function writePaperDetails(name, url, desc)
+filename = "papers_to_read.csv";
+T = table(name, url, desc, VariableNames=["Name", "URL", "Description"]);
+writetable(T, filename, WriteMode="append");
+end
+%% Extract Papers From ArXiv
+% Specify the category of interest, the date range for the query, and the maximum 
+% number of results to retrieve from the ArXiv API.
+
+category = "cs.CL";
+endDate = datetime("today", "Format","uuuuMMdd");
+startDate = datetime("today", "Format","uuuuMMdd") - 5;
+maxResults = 40;
+urlQuery = "https://export.arxiv.org/api/query?search_query=" + ...
+    "cat:" + category + ...
+    "&submittedDate=["+string(startDate)+"+TO+"+string(endDate)+"]"+...
+    "&max_results=" + maxResults + ...
+    "&sortBy=submittedDate&sortOrder=descending";
+
+options = weboptions('Timeout',160);
+code = webread(urlQuery,options);
+%% 
+% Extract individual paper entries from the API response and use ChatGPT to 
+% determine whether each paper is related to the specified topic.
+% 
+% ChatGPT will parse the XML file, so we only need to extract the relevant entries.
+
+entries = extractBetween(code, '<entry>', '</entry>');
+%% Write Relevant Information to Table
+% Determine the topic of interest.
+
+topic = "Large Language Models";
+%% 
+% Loop over the entries and see if they are relevant to the topic of interest.
+
+for i = 1:length(entries)
+    prompt =  "Given the following paper:" + newline +...
+        string(entries{i})+ newline +...
+        "Is it related to the topic: "+ topic +"?" + ...
+        " Answer 'yes' or 'no'.";
+    [text, response] = generate(chat, prompt);
+
+%% 
+% If the model classifies this entry as relevant, then it tries to request a 
+% function call.
+
+    if contains("yes", text, IgnoreCase=true)
+        prompt =  "Given the following paper:" + newline + string(entries{i})+ newline +...
+            "Given the topic: "+ topic + newline + "Write the details to a table.";
+        [text, response] = generate(chat, prompt);
+
+%% 
+% If |function_call| if part of the response, it means the model is requesting 
+% a function call. The function call request should contain the needed arguments 
+% to call the function specified at the end of this example and defined with |openAIFunctions|.
+
+        if isfield(response, "tool_calls")
+            funCall = response.tool_calls;
+            functionCallAttempt(funCall);
+        end
+    end
+end
+%% 
+% Read the generated file. 
+
+data = readtable("papers_to_read.csv", Delimiter=",")
+%% Helper Function
+% This function handles function call attempts from the model, checking the 
+% function name and arguments before calling the appropriate function to store 
+% the paper details.
+
+function functionCallAttempt(funCall)
+%% 
+% The model can sometimes hallucinate function names, so you need to ensure 
+% that it's suggesting the correct name.
+
+if funCall.function.name == "writePaperDetails"
+    try
+%% 
+% The model can sometimes return improperly formed JSON, which needs to be handled.
+
+        funArgs = jsondecode(funCall.function.arguments);
+    catch ME
+        error("Model returned improperly formed JSON.");
+    end
+%% 
+% The model can hallucinate arguments. The code needs to ensure the arguments 
+% have been defined before calling the function.
+
+    if isfield(funArgs, "name") && isfield(funArgs, "url") && isfield(funArgs,"explanation")
+        writePaperDetails(string(funArgs.name), string(funArgs.url), string(funArgs.explanation));
+    end
+end
+end
+%% 
+% _Copyright 2023-2024 The MathWorks, Inc._
\ No newline at end of file
diff --git a/examples/ExampleFunctionCalling.mlx b/examples/ExampleFunctionCalling.mlx
index a4ae7ab..47f695c 100644
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