Uncategorized GenAI Screen Test by mfh.officials@gmail.com Jan 7, 2025 0 Comment Generative AI (Gen AI) Screening Test 1 / 20 Which of the following technologies powers ChatGPT? Long Short-Term Memory (LSTM) Reinforcement Learning Convolutional Networks Transformers 2 / 20 Which loss function is commonly used in training GANs? Hinge Loss Mean Squared Error (MSE) Cross-Entropy Loss Binary Cross-Entropy Loss 3 / 20 What is the role of attention mechanisms in transformer-based models? To reduce the model size To focus on relevant parts of the input sequence To increase training speed To simplify architecture design 4 / 20 What is the purpose of "diffusion models" in Generative AI? To reduce training time To classify data To generate high-quality images by reversing noise To optimize hyperparameters 5 / 20 Which neural network architecture is commonly used in Generative AI? Generative Adversarial Networks (GANs) Decision Trees Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) 6 / 20 What is "prompt engineering" in the context of Generative AI? Designing the neural network architecture Crafting inputs to guide AI output Tuning hyperparameters for training Optimizing system performance 7 / 20 What is "zero-shot learning" in Generative AI? Generating output for unseen tasks without specific training Reducing model training time to zero Removing overfitting during training Training models without any labeled data 8 / 20 What is Generative AI primarily used for? Extracting insights from structured data Creating new content, such as images, text, or music Monitoring system performance Data analysis and visualization 9 / 20 What is a common use case for Variational Autoencoders (VAEs)? Dimensionality reduction and generative tasks Predictive modeling Decision tree optimization Classification tasks 10 / 20 What is a key component of a Generative Adversarial Network (GAN)? A trainer and a learner A discriminator and a generator A feature extractor and classifier An encoder and a decoder 11 / 20 What does the "T" in GPT stand for? Transformer Training Transfer Translation 12 / 20 What is the main role of the "discriminator" in a GAN? To classify real and fake data To reduce noise in the input To generate synthetic data To optimize the learning rate 13 / 20 What does "fine-tuning" mean in Generative AI? Increasing the number of layers in a model Training a new model from scratch Simplifying the dataset Adjusting a pre-trained model for specific tasks 14 / 20 Which of the following is a major ethical concern with Generative AI? Lack of scalability Biased or harmful content generation Limited use cases High computational cost 15 / 20 What does "latent space" refer to in Generative AI? A repository for training data A storage area for pre-trained models A reduced-dimensional representation of input data A memory buffer for AI systems 16 / 20 Which of the following frameworks is widely used for developing Generative AI models? PyTorch JAX All of the above TensorFlow 17 / 20 Which of the following is a real-world application of Generative AI? Customer segmentation Predictive analytics Image synthesis and text generation Fraud detection 18 / 20 Which technique combines supervised and unsupervised learning for training Generative AI? Zero-shot learning Adversarial training Semi-supervised learning Reinforcement learning 19 / 20 What is the main advantage of pre-trained Generative AI models? They generalize better to new tasks They eliminate the need for labeled data They require no further training They reduce computational resources needed for fine-tuning 20 / 20 Which of the following is NOT an example of Generative AI? MidJourney DALL·E Power BI ChatGPT Your score isThe average score is 60% 0% Restart quiz
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