Exploring Generative AI Concepts
Authored by Mohan K
Information Technology (IT)
University
Used 1+ times
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15 questions
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1.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
What is a common ethical concern associated with AI?
Bias in decision-making
Improved user experience
Enhanced data privacy
Increased job opportunities
2.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which of the following is a type of generative model?
Decision Trees
Support Vector Machines (SVMs)
Linear Regression
Generative Adversarial Networks (GANs)
3.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which technique is commonly used for generating images from text?
Image-to-text conversion
Text-based image editing
Text description enhancement
Text-to-image synthesis
4.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
What does the term 'bias' refer to in AI systems?
Bias in AI systems refers to random errors that have no impact on outcomes.
Bias in AI systems is the preference for certain algorithms over others.
Bias in AI systems indicates a lack of data diversity in training sets.
Bias in AI systems refers to systematic errors leading to unfair outcomes or discrimination.
5.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
What is a GAN in the context of generative models?
A GAN is used exclusively for image classification tasks.
A GAN consists of a single neural network that generates data.
A GAN is a generative model that uses two neural networks, a generator and a discriminator, to create realistic data.
A GAN is a type of supervised learning model.
6.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
How can generative AI be used in the entertainment industry?
Generative AI can only be used for data analysis in the entertainment industry.
Generative AI is primarily used for marketing and advertising campaigns.
Generative AI can be used to create scripts, music, visual content, personalize experiences, and enhance interactive gaming.
Generative AI is limited to creating video games without any other applications.
7.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
What is the role of training data in generative models?
Training data is only used for model evaluation.
Training data enables generative models to learn patterns and generate new data.
Training data is solely for testing the model's accuracy.
Training data is irrelevant to generative models.
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