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GenAI & Copilot Overview

Total questions: 15

Worksheet time: 6mins

Name
Class
Date
1.

What is Generative AI?

a)

AI that focuses on analyzing data

b)

AI that generates new content or data

c)

AI used for automating repetitive tasks

d)

AI used for data storage

2.

GenAI models are always perfect and produce flawless outputs.

a)

True

b)

False

3.

What is LLM?

a)

Llama Lovers Magazine

b)

Master of Laws

c)

Lemon Lime Mint

d)

Large Language Model

4.

Which type of neural network is commonly used in GenAI for generating new content?

a)

Convolutional Neural Networks (CNNs)

b)

Recurrent Neural Networks (RNNs)

c)

Generative Adversarial Networks (GANs)

d)

Deep Belief Networks (DBNs)

5.

What is the purpose of a language model in Generative AI?

a)

To generate new text that is indistinguishable from human-created text

b)

To automate tasks that are currently done by humans, such as writing emails or generating reports.

c)

To learn from a large dataset of text and use that data to generate new examples

d)


To classify existing text into one of a set of categories.

6.

Which company released a large language model known as GPT (Generative Pre-trained Transformer)?

a)

Google

b)

Microsoft

c)

Facebook

d)

OpenAI

7.

What is the name of the AI assistant developed by GitHub and OpenAI that assists developers in writing code?

a)

GenBot

b)

Code Copilot

c)

GPT-Coder

d)

GitHub Copilot

8.

In what ways can copilot assist developers in writing code?

a)

By predicting the future

b)

By providing suggestions, autocompletions, code snippets, context-aware completions, refactoring assistance, debugging support, and code quality improvements

c)

By making coffee for the developers

d)

By providing emotional support

9.

Compare and contrast Gen AI and copilot in terms of functionality.

a)

Gen AI is a tool for analyzing data, while Copilot is a tool for designing user interfaces.

b)

Gen AI is for assisting developers in writing code, while Copilot is for generating text content.

c)

Gen AI and Copilot have the same functionality in assisting developers in writing code.

d)

Gen AI is for generating text content, while Copilot is for assisting developers in writing code.

10.

What is the difference between Generative AI and discriminative AI?

a)

Generative AI is more accurate than discriminative AI

b)

Generative AI is more efficient than discriminative AI

c)

Generative AI creates new content, while discriminative AI classifies existing content

d)

All of these

11.

What are some ethical considerations when using generative Al?

a)

Bias in generated outputs

b)

Misuse of generative AI for fraudulent activities

c)

Ownership of generated content

d)

All of these

12.

How can the ethical implications of Gen AI be addressed?

a)

By outsourcing the responsibility to third-party organizations without oversight

b)

By implementing strict regulations, conducting thorough testing and validation processes, promoting transparency, ensuring accountability, and fostering open discussions

c)

By keeping the decision-making process opaque and hidden from public scrutiny

d)

By ignoring the ethical implications and focusing solely on technological advancement

13.

What programming languages does Microsoft Copilot support?

a)

Python

b)

JavaScript

c)

TypeScript

d)

All of these

14.

Which of the following is NOT a feature of Gen AI?

a)

Natural language understanding

b)

Emotional intelligence

c)

Image recognition

d)

Quantum computing

15.

How can companies leverage GenAI and Microsoft Copilot technologies to enhance productivity and innovation?

a)

Automating repetitive tasks

b)

Augmenting human creativity and problem-solving abilities

c)

Streamlining software development processes

d)

All of these