Generative AI Quiz ChallengeVersión en línea Test your knowledge on generative AI concepts and applications! por Pooja Shanmugaraj 1 What is generative AI primarily used for? a Web development b Data analysis c Cybersecurity d Creating new content like images, text, and music. 2 Which model is commonly associated with generative AI? a Linear Regression b Generative Adversarial Networks (GANs) c Decision Trees d Support Vector Machines 3 What does a GAN consist of? a A generator and a discriminator. b A trainer and a tester c An encoder and a decoder d A classifier and a regressor 4 Which of the following is a popular application of generative AI? a Email encryption b Spam filtering c Database management d Deepfake technology 5 What is a common challenge in generative AI? a User interface design b Network speed c Data storage d Ensuring content authenticity. 6 Which generative AI model is known for text generation? a GPT (Generative Pre-trained Transformer) b CNN (Convolutional Neural Network) c RNN (Recurrent Neural Network) d KNN (K-Nearest Neighbors) 7 What is a potential ethical concern with generative AI? a Slow processing speed b Misinformation and fake content creation. c Limited data availability d High computational cost 8 Which industry has seen significant use of generative AI? a Agriculture b Construction c Manufacturing d Entertainment and media. 9 What does 'training' a generative AI model involve? a Creating user interfaces b Feeding it large datasets to learn patterns. c Writing code manually d Testing hardware performance 10 What is a common output of generative AI? a Network protocols b Raw data files c Synthetic images and videos. d Database schemas 11 What is generative AI primarily used for? a Creating new content such as images, text, and music. b Analyzing existing data only. c Storing large datasets. d Performing manual tasks. 12 Which model is commonly associated with generative AI? a Linear Regression. b Generative Adversarial Networks (GANs). c Decision Trees. d Support Vector Machines (SVM). 13 What does a GAN consist of? a A classifier and a regressor. b Two generators. c A single neural network. d A generator and a discriminator. 14 Which application is NOT typically associated with generative AI? a Image synthesis. b Text generation. c Data encryption. d Music composition. 15 What is a common challenge in training generative AI models? a High bias. b Underfitting. c Mode collapse. d Overfitting. 16 Which of the following is a popular text-generating model? a KNN (K-Nearest Neighbors). b CNN (Convolutional Neural Network). c GPT (Generative Pre-trained Transformer). d RNN (Recurrent Neural Network). 17 What is 'style transfer' in generative AI? a Creating 3D models from 2D images. b Transferring data between devices. c Applying the style of one image to another. d Changing image resolutions. 18 Which industry has seen significant use of generative AI? a Entertainment and media. b Agriculture only. c Manufacturing only. d Construction only. 19 What is the purpose of the discriminator in a GAN? a To analyze data patterns. b To differentiate between real and generated data. c To store data. d To create new data. 20 What ethical concern is associated with generative AI? a Data storage issues. b Limited applications. c High computational costs. d Deepfakes and misinformation.
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