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Artificial Intelligence

Which sampling adds noise & removes it iteratively?

1. A-VAE
2. B-GAN
3. C-Diffusion
4. D-Autoregressive
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI
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Which metric evaluates BLEU vs. human for generative summaries?

1. A-BLEU
2. B-ROUGE
3. C-BERTScore
4. D-PARENT
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI
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Which transformer architecture uses RoPE?

1. A-BERT
2. B-GPT-2
3. C-Llama
4. D-T5
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI
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Which tool offers conditional logic in quizzes?

1. A-Fyrebox
2. B-123 Form Builder
3. C-Quizgecko
4. D-Survey Monkey
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI
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What is a unique feature of Quiz Global?

1. A-Countdown timer
2. B-Question bank
3. C-Voice commands
4. D-Conditional logic
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI
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What is a key feature of Kahoot!?

1. A-Interactive game-based format
2. B-AI question generation
3. C-Plagiarism checking
4. D-Video hosting
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI
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Which is a key limitation of AI-generated MCQs?

1. A-Speed of generation
2. B-Cost
3. C-Lack of contextual depth
4. D-Language support
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI
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What did the ChatGPT-4 vs human MCQ study find?

1. A-ChatGPT-4 outperformed humans
2. B-No significant difference
3. C-Humans performed better in Ob/Gyn
4. D-Both 2 and 3
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI
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Which study compared ChatGPT-4 vs human-generated MCQs?

1. A-Naseer et al. (2024)
2. B-Smith et al. (2023)
3. C-Johnson & Lee (2022)
4. D-Chen et al. (2021)
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI
7. More about this MCQ

What is a key feature of FlexiQuiz?

1. A-Auto-grading
2. B-AI question generation
3. C-Plagiarism checking
4. D-Video hosting
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI
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Which AI tool can generate MCQs from various sources?

1. A-Quizbot
2. B-ChatGPT
3. C-FlexiQuiz
4. D-ProProfs
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6. Artificial Intelligence / Generative AI
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What is the primary purpose of the discriminator in a GAN?

1. A-Generate synthetic data
2. B-Classify input data
3. C-Evaluate the performance of the generator
4. D-None of the above
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

What distinguishes VAEs from traditional autoencoders?

1. A-VAEs have a single neural network architecture
2. B-VAEs do not involve any form of regularization
3. C-VAEs learn a probabilistic distribution in the latent space
4. D-VAEs cannot generate new data samples
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

Which of the following is not a type of Generative AI technique?

1. A-LSTM
2. B-GAN
3. C-Decision Trees
4. D-VAE
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

What is the main drawback of using Generative AI techniques?

1. A-Limited scalability
2. B-High computational requirements
3. C-Difficulty in training
4. D-Lack of interpretability
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

What does the generator component of a GAN aim to do?

1. A-Maximize the discriminator's accuracy
2. B-Minimize the discriminator's accuracy
3. C-Generate synthetic data that resembles real data
4. D-Optimize the loss function
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

Which type of AI approach focuses on creating new content that mimics human-created content?

1. A-Supervised learning
2. B-Reinforcement learning
3. C-Generative AI
4. D-Unsupervised learning
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

Which of the following is not a type of Generative AI model?

1. A-GANs
2. B-VAEs
3. C-CNNs
4. D-Transformer models
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

Which type of neural network is commonly used for generating realistic images?

1. A-Convolutional Neural Networks (CNNs)
2. B-Recurrent Neural Networks (RNNs)
3. C-Multilayer Perceptrons (MLPs)
4. D-Self-Organizing Maps (SOMs)
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

What do Generative Adversarial Networks consist of?

1. A-One neural network
2. B-Two neural networks
3. C-Three neural networks
4. D-Four neural networks
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

Which component of a GAN tries to distinguish between real and generated data?

1. A-Generator
2. B-Discriminator
3. C-Encoder
4. D-Decoder
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

Transformer models are known for their effectiveness in:

1. A-Image classification
2. B-Natural language generation
3. C-Speech recognition
4. D-Reinforcement learning
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

What distinguishes generative AI from other AI approaches?

1. A-It focuses on optimization tasks
2. B-It creates new content rather than analyzing existing data
3. C-It relies solely on supervised learning
4. D-It does not use neural networks
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

Generative AI has applications in which of the following domains?

1. A-Financial forecasting
2. B-Image synthesis
3. C-Object detection
4. D-Network security
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

Which technique is used to train a GAN in a competitive setting?

1. A-Reinforcement learning
2. B-Unsupervised learning
3. C-Supervised learning
4. D-Adversarial learning
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

What is the main purpose of Variational Autoencoders (VAEs)?

1. A-Image classification
2. B-Data compression
3. C-Learning latent representations of data
4. D-Text summarization
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

VAE stands for?

1. A-Variational Artificial Encoder
2. B-Variational Autoencoder
3. C-Variable Adjustment Enhancer
4. D-Virtual Algorithmic Entity
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

Which neural network architecture is commonly used for generating sequential data?

1. A-Convolutional Neural Networks (CNNs)
2. B-Recurrent Neural Networks (RNNs)
3. C-Multilayer Perceptrons (MLPs)
4. D-Autoencoders
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

What is the role of the generator in a GAN?

1. A-Discriminate between real and fake data
2. B-Generate synthetic data
3. C-Optimize the loss function
4. D-None of the above
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

What is the primary goal of Generative Adversarial Networks (GANs)?

1. A-Classification
2. B-Prediction
3. C-Generation of synthetic data
4. D-Optimization
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI

Which subset of artificial intelligence focuses on creating new content?

1. A-Supervised Learning
2. B-Generative AI
3. C-Unsupervised Learning
4. D-Reinforcement Learning
5. MCQ By: MCQSEXAM
6. Artificial Intelligence / Generative AI