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QUIZ ON AI

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What is Machine Learning?

a)

 A type of human learning

b)

A branch of AI that focuses on algorithms that learn from data


c)

The process of teaching robots to dance


d)

A programming language used in AI


2.

Which famous frameworks are used in AI models

a)

PyTorch


b)

Keras


c)

TensorFlow


d)

All of the above

3.

What is the Turing Test used for in AI?

a)

To measure the processing speed of computers


b)

To evaluate a machine's ability to exhibit human-like intelligence


c)

To test the accuracy of programming languages


d)

To compare different AI algorithms

4.

 In AI, what does the term 'Deep Learning' refer to?

a)

Machines learning from experience


b)

 Complex neural networks with multiple layers

c)

 Machines imitating human emotions

d)

Learning advanced programming languages


5.

In the field of AI, what is 'Reinforcement Learning' primarily concerned with?

a)

Training models with labeled datasets

b)

Teaching machines to make decisions based on rewards and punishments

c)

 Designing algorithms for natural language understanding

d)

Creating realistic simulations for virtual reality


6.

What is the significance of Moore's Law in the context of AI?

a)

It predicts the growth of computational power and its impact on AI development


b)

 It establishes ethical guidelines for AI research

c)

 It defines the mathematical basis for machine learning algorithms


d)

 It assesses the potential risks of superintelligent AI


7.

In AI, what is 'Explainable AI' (XAI) and why is it crucial in certain applications?

a)

The ability of AI systems to justify their decision-making processes

b)

 The optimization technique for deep neural networks


c)

The process of encoding human values into AI algorithms


d)

The integration of quantum computing principles into AI models


8.

 What is the concept of 'Supervised Learning' in Machine Learning?

a)

Learning without any guidance

b)

Learning with a teacher providing labeled examples for training

c)

Learning through random trial and error

d)

 Learning without access to external data


9.

What does 'Big Data' refer to in the context of AI and ML?

a)

 Large-sized computer processors

b)

Massive datasets with complex information

c)

The latest AI algorithms

d)

High-resolution images for training models


10.

What architecture is used by ChatGPT?

a)

A convolutional Neural Network

b)

A linear regression model

c)

A large language model

d)

A Vision Transformer