Artificial Intelligence Gen AI Gen AI Quiz Quiz Gen AI Basics Quiz 3 Data AI Admin October 10, 2024 Welcome to the Generative AI Basics Quiz 3! 🤖This quiz focuses on deepening your understanding of key generative AI topics, including GANs, VAEs, transformers, and diffusion models. Dive in and see how well you know Generative AI! ⏰ Time’s Up!The quiz has ended, and your responses have been automatically submitted. Let’s check your grasp of Generative AI! Generative AI Basics Quiz 3 This is the third quiz in the Generative AI Basics series. It contains 10 questions, including multiple-choice and true/false, to help you explore advanced concepts like GANs, VAEs, transformers, and diffusion models. Some questions may have more than one correct answer. 1 / 10 GPT (Generative Pre-trained Transformer) is an example of a deep learning model for generating structured data like SQL queries. False True 2 / 10 Diffusion models gradually add noise to data and then learn to reverse this process to generate new samples. True False 3 / 10 Which of the following are common tasks for Generative AI models? Data augmentation Sentiment analysis Image classification Text generation 4 / 10 Generative AI models like GPT-3 and DALL·E 2 are typically unsupervised or self-supervised learning models. False True 5 / 10 Which of the following models is NOT commonly used in Generative AI? Diffusion models Variational Autoencoders (VAE) Transformer models Linear regression 6 / 10 Which of the following is an advantage of using transformers in Generative AI tasks? They rely heavily on RNNs They can parallelize computations They handle sequential data efficiently They cannot work with large datasets 7 / 10 Generative Adversarial Networks (GANs) consist of two networks known as the generator and discriminator. False True 8 / 10 Which type of AI model is typically used to generate human-like dialogue in chatbots? Decision Trees Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Transformer-based models 9 / 10 What is a key challenge when training GANs? Lack of training data Overfitting Exploding gradients Mode collapse 10 / 10 What is the primary goal of a Variational Autoencoder (VAE)? To perform reinforcement learning tasks To classify images based on predefined categories To generate new data by learning a latent representation of the input To improve the accuracy of decision trees Your score isThe average score is 60% 0% Restart quiz Share this… Whatsapp Linkedin Facebook Twitter Gmail Related Tags: Gen AI, Gen AI Quiz, Quiz Continue Reading Previous Databases Basics Quiz 3Next Gen AI Medium Level Quiz 4 More Stories Artificial Intelligence Deep Learning Gen AI Machine Learning Natural Language Processing Projects Technology DriveXpert AI Assistant : Users quickly solve their car-related queries balugorad January 15, 2025 Artificial Intelligence Open Source vs Paid Large Language Models (LLMs): A Strategic Comparison balugorad January 15, 2025 Artificial Intelligence Deep Learning Gen AI Vector Databases: A Key Component in Modern AI and Data Science balugorad January 9, 2025 Leave a Reply Cancel replyYou must be logged in to post a comment.
