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Generative AI Quiz - Day 1 (IBM GenAI Basics)

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

What does 'Generative AI' primarily do?

a)

Analyze data

b)

Generate new content

c)

Store information

2.

Which of the following is a foundation model developed by IBM?

a)

GPT-3

b)

BERT

c)

IBM Granite

3.

4. Foundation models are trained on _________?

a)

Massive datasets

b)

Small datasets

c)

Single documents

d)

Limited samples

4.

What does 'LLM' stand for in Generative AI?

a)

Large Language Model

b)

Logical Learning Machine

c)

Linked List Model

5.

Which component helps AI models understand context and relationships in data?

a)

Transformers

b)

Neural Networks

c)

Decision Trees

6.

What is the second step in how Generative AI works?

a)

Data collection

b)

Fine-tuning

c)

Deployment

7.

Which company created the GPT series?

a)

IBM

b)

OpenAI

c)

Google

8.

DALL-E and Midjourney are examples of Generative AI used for _________?

a)

Image generation

b)

Text summarization

c)

Speech recognition

d)

Data analysis

9.

IBM's Generative AI approach focuses on _________

a)

Trust, responsibility, and open innovation

b)

Speed, secrecy, and closed systems

c)

Profit maximization and risk-taking

d)

Automation without ethical considerations

e)

Data collection and surveillance

10.

Which IBM platform is associated with AI and model training?

a)

watsonx.ai

b)

IBM Cloud

c)

IBM Watson

11.

In academics, Generative AI can help _________?

a)

Auto-generate lesson plans

b)

Cook food for students

c)

Clean classrooms automatically

d)

Organize sports events

12.

Which industry uses Generative AI for report summarization?

a)

Finance

b)

Healthcare

c)

Retail

13.

Why is responsible AI important?

a)

To avoid plagiarism and bias

b)

To increase speed

c)

To reduce cost

14.

What are AI agents expected to have in the future?

a)

Speed

b)

Autonomy

c)

Cost-effectiveness

15.

What does 'multi-modal' AI mean?

a)

AI using only text

b)

AI combining text, image, and audio

c)

AI using only images