Introduction to Semantic Kernel

What is Semantic Kernel?

• A lightweight SDK/framework by Microsoft

• A new programming language developed by Microsoft

• An advanced language model for generating code

• A virtual reality platform for developers

What is the purpose of Prompt Templating in Semantic Kernel?

• To provide developers with easy access to AI

• To hard-code specific prompts or questions

• To construct flexible and dynamic question-based queries

• To facilitate integration with popular connectors

What are the key components of Semantic Kernel?

• Skills - Memory - Connectors

• Connectors - Planner- Doraemon

• Skills - Connectors- Models

•   Planner - Controller - Skills 

What is the role of Memory in Semantic Kernel?

• It refers to a domain of expertise made available to the kernel.

• It serves as a framework for integrating large language models.

• It facilitates the communication between Semantic Kernel and various platforms.

• It stores context and allows the system to learn from user interactions.

Which of the following can be considered as a Skill in Semantic Kernel?

• A large language model prompt

• A native code function

• A user input from a chat conversation

• A connector for accessing data from a platform

What can a Connector do in Semantic Kernel?

• It enables your application to generate and execute plans.

• It facilitates communication between Semantic Kernel and various platforms.

• It provides a framework for creating flexible question-based queries.

• It stores context and memory for the system.

What is the purpose of the Planner in Semantic Kernel?

• To prioritize and optimize the use of skills

• To provide ready-made templates for queries

• To translate user requests into skill interactions

• To serve as a virtual assistant within the application

What makes Semantic Kernel skills flexible and extensible?

• The integration of large language models

• The use of prompt templating for queries

• The ability to chain multiple responses

• The design that allows both Semantic and Native code functions

What is the programming language that Semantic Kernel is written in?

• C++

• Java

• Python

• C#

What is the benefit of using Semantic Kernel in existing applications?

• It automates complex task planning similar to "if this, then that."

• It replaces the need for large language models in applications.

• It requires extensive modifications to the existing codebase.

• It is a standalone application without any integration options.