Generative AI Quiz

How does generative AI differ from traditional AI systems?

• Generative AI is faster

• Generative AI creates new content, while traditional AI typically analyzes existing content

• Traditional AI uses machine learning, while generative AI does not

• There is no difference

Which type of model powers most generative AI systems like ChatGPT?

• Decision trees

• Neural networks

• Large Language Models (LLMs)

• Regression models

Answer explanation

While LLMs can seem remarkably intelligent, they don't truly "understand" language the way humans do. Instead, they make sophisticated statistical predictions based on patterns they've learned. They can be thought of as very advanced autocomplete systems that have learned complex patterns from their training data.

What is a "prompt" in the context of generative AI?

• A type of neural network

• A question or input that guides the AI’s response

• A programming language

• An algorithm for processing data

Which of the following statements about generative AI is true?

• It relies on pre-written scripts for responses

• It generates content based on learned patterns from data

• It only works with numerical data

• It is always up-to-date

What is "GPT" short for in ChatGPT?

• Generative Pre-trained Transformer

• General Processing Tool

• General Purpose Technology

• Graphical Processing Transformer

What is a common limitation of generative AI systems?

• They are hard to use

• They struggle with creativity

• They can produce incorrect or biased information

• They are not scalable

Artificial Intelligence is a new technology and just started impacting education about 2 years ago.

• True

• False

Answer explanation

Artificial Intelligence (AI) as a formal field of study was first conceptualized in the mid-20th century. The term "Artificial Intelligence" was coined in 1956 by John McCarthy, a computer scientist, during the Dartmouth Conference. This event is widely considered the birth of AI as a scientific discipline. During this time, early AI research focused on symbolic reasoning, problem-solving, and game-playing programs.

Which of the following best defines Artificial Intelligence (AI)?

• A branch of computer science focused on creating systems that can perform tasks typically requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

• A technology that exclusively involves programming computers to perform arithmetic calculations faster than humans.

• A subset of computer graphics used to create visual effects in movies and video games.

• A type of hardware used in supercomputers for processing large amounts of data.

What is the primary difference between generative AI and Traditional AI (also called Task-Specific or Narrow AI)?

• A. Generative AI focuses on creating new content, while task-specific AI is designed to perform one specialized function

• B. Task-specific AI can only be used for visual tasks, while generative AI is used for text-based tasks.

• C. Generative AI requires labeled datasets to function, whereas task-specific AI does not need any data for training.

• D. Task-specific AI is primarily used for artistic applications, while generative AI is used for business analytics.

Answer explanation

One way to remember the difference is:

Generative AI: "G for Generating New Creations." - Generative AI focuses on creating new content, such as images, text, or music. Think of "G" for "Generating."

• Task-specific AI: Designed to perform a specific task. Does not create anything new.

Organize these options into the right categories

Groups:

(a) Narrow (Task-Specific) AI

,

(b) Generative AI

• 1. Speech Recognition for Virtual Assistants

• Summarizing text

• Spam Detection in Emails

• Image Generation from Text Descriptions

• Writing News Articles Automatically

• Google or Apple Maps

• Predicting Stock Market Trends