Artificial intelligence question bank

Artificial intelligence question bank

10 Qs

quiz-placeholder

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Artificial intelligence question bank

Artificial intelligence question bank

Assessment

Quiz

Medium

Created by

Bijoy kp

Used 4+ times

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the acronym AI stand for?

Artificial Intelligence

Automated Intelligence

Augmented Intelligence

Advanced Intelligence

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal of AI?

To create machines that can think like humans

To develop systems that can learn and adapt without human intervention

To automate tasks that are currently performed by humans

All of the above

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between narrow AI and artificial general intelligence (AGI)?

Narrow AI is focused on a specific task or problem, while AGI is capable of performing any intellectual task that a human can.

Narrow AI is not self-aware, while AGI is conscious and aware of its own existence.

Narrow AI is not creative, while AGI is capable of original thought and problem-solving.

All of the above

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is machine learning?

A branch of AI that allows computers to learn without being explicitly programmed

A technique for using data to train algorithms to make predictions or decisions

A type of AI that is used to create robots that can perform physical tasks

A method for programming computers to understand and respond to natural language

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is deep learning?

A type of machine learning that uses artificial neural networks to learn from data

A method for training computers to understand and respond to natural language

A branch of AI that is focused on creating machines that can think like humans

A technique for programming computers to perform physical tasks

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between supervised learning and unsupervised learning?

Supervised learning involves training a model with labeled data, while unsupervised learning involves training a model with unlabeled data.

Supervised learning is used for classification tasks, while unsupervised learning is used for clustering tasks.

Supervised learning is more accurate than unsupervised learning, but it is also more time-consuming and expensive to train.

Unsupervised learning is more difficult than supervised learning, but it is also more flexible and can be used for a wider range of tasks.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is natural language processing (NLP)?

A branch of AI that is focused on creating machines that can understand and respond to natural language

A technique for programming computers to perform physical tasks

A type of machine learning that uses artificial neural networks to learn from data

A method for training computers to learn without being explicitly programmed

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