A company is building an application that needs to generate synthetic data that is based on existing data. Which type of model can the company use to meet this requirement?

The correct answer is A. Generative adversarial network (GAN). Generative adversarial networks (GANs) are a type of deep learning model used for generating synthetic data based on existing datasets. GANs consist of two neural networks (a generator and a discriminator) that work together to create realistic data.

Submitted by klara.se· Mar 30, 2026Foundations of Generative AI

Question

Options

AGenerative adversarial network (GAN)
BXGBoost
CResidual neural network
DWaveNet

How the community answered

(45 responses)

A
87% (39)
B
4% (2)
C
2% (1)
D
7% (3)

Explanation

Generative adversarial networks (GANs) are a type of deep learning model used for generating synthetic data based on existing datasets. GANs consist of two neural networks (a generator and a discriminator) that work together to create realistic data.

Topics

#Generative AI#Generative adversarial network#GAN#Synthetic data generation

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