Prompting Techniques in Semantic Kernal

 using Microsoft.SemanticKernel;

// Populate values from your OpenAI deployment

var modelId = "";

var endpoint = "";

var apiKey = "";

// Create a kernel with Azure OpenAI chat completion

var builder = Kernel.CreateBuilder().AddAzureOpenAIChatCompletion(modelId, endpoint, apiKey);

// Build the kernel

Kernel kernel = builder.Build();

string request = "How are you?";

// Zaro Shot Learning

/*

string prompt = $"""

Instructions: What is the intent of this request?

If you don't know the intent, don't guess; instead respond with "Unknown".

Choices: SendEmail, SendMessage, CompleteTask, CreateDocument, Unknown.

User Input: {request}

Intent:

""";

*/

//Few Shot Learning

/*

string prompt = $"""

Instructions: What is the intent of this request?

If you don't know the intent, don't guess; instead respond with "Unknown".

Choices: SendEmail, SendMessage, CompleteTask, CreateDocument, Unknown.

User Input: Can you send a very quick approval to the marketing team?

Intent: SendMessage

User Input: Can you send the full update to the marketing team?

Intent: SendEmail

User Input: {request}

Intent:

""";

*/

//Persona in Prompting

/*

string prompt = $"""

You are a highly experienced software engineer. Explain the concept of asynchronous programming to a beginner.

""";

*/

//Chain of Thought Prompting

string prompt = $"""

A farmer has 150 apples and wants to sell them in baskets. Each basket can hold 12 apples. If any apples remain after filling as many baskets as possible, the farmer will eat them. How many apples will the farmer eat?

Instructions: Explain your reasoning step by step before providing the answer.

""";

var result = await kernel.InvokePromptAsync(prompt);

Console.WriteLine(result);