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Artificial Intelligence Overview Quiz

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Questions and Answers

What is the main difference between Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI)?

AGI is self-aware, while ASI can understand and learn like humans.

AGI has a level of intelligence humans can't achieve, while ASI is proactive in interactions.

AGI can learn new things like humans, while ASI is more intelligent than humans in all areas.

AGI can surpass human intelligence, while ASI can self-improve and surpass human intelligence. (correct)

What capability does a Personal Assistant in AI no longer have?

Learning capabilities

Understanding new things

Proactive interactions

Passive interactions (correct)

What is the main objective of the Turing Test?

To evaluate the speed of AI algorithms

To test the learning capabilities of a machine

To prove that AI can understand new things

To see if a machine can demonstrate human intelligence (correct)

Which type of AI operates in specific dedicated areas and is superior to humans in repetitive tasks?

Narrow Artificial Intelligence Signup and view all the answers

What stage of AI development involves continuous and fast self-improvement with extreme learning ability?

Super Artificial Intelligence Signup and view all the answers

What does the term 'Singularity' refer to in the context of AI?

A level of intelligence that humans can't achieve Signup and view all the answers

What is the key difference between supervised learning and unsupervised learning?

Supervised learning involves labeled datasets, while unsupervised learning uses unlabeled datasets. Signup and view all the answers

Which type of learning is typically used for tasks like classification and regression?

Supervised learning Signup and view all the answers

In deep learning, why is data considered very important but hard to derive features?

Because raw data needs to be transformed into meaningful features for the model to learn effectively. Signup and view all the answers

What is the primary purpose of pre-training models and transfer learning in deep learning?

To transfer knowledge gained from a model trained on one dataset to improve performance on another dataset. Signup and view all the answers

What types of tasks are typically performed using unsupervised learning?

Clustering, association, and dimensionality reduction Signup and view all the answers

What is the main objective of Generative Adversarial Networks (GANs)?

To generate new data that mimics the distribution of real data Signup and view all the answers