Concepts of Generative AI

Maya, Harper, Abigail, Jackson, and Kai are working on a project to predict the success of a new product in the market using supervised learning. They need to choose the appropriate algorithms for their project. Michael, their project guide, asked them to consider a list of algorithms. Which list should they consider?

• Linear regression, Logistic regression, Decision trees, Random forests, Support vector machines (SVM), Naive Bayes, K-nearest neighbors (KNN)

• Unsupervised learning, Reinforcement learning, Semi-supervised learning

• Artificial intelligence, Machine learning, Deep learning

• Clustering, Dimensionality reduction, Association rule learning

For an internal project, Daniel, Nora, and Michael are researching different types of AI. They found that one type is more commonly used in Generative AI. Which one is it?

• Generative Adversarial Networks (GANs)

• Recurrent Neural Networks (RNNs)

• Convolutional Neural Networks (CNNs)

• Support Vector Machines (SVMs)

Michael, Noah, and William are working on a project at their tech startup to develop a recommendation system using Artificial Neural Networks. They are discussing the training process of the model. Which algorithm do they commonly use for this purpose?

• upward propagation

• sideways propagation

• backpropagation

• forward propagation

Luna, David, and Benjamin are part of a tech startup that is developing a machine learning model to predict stock market trends using Artificial Neural Networks. They are in a meeting discussing the type of activation function to use in their model. Which function is commonly used for this purpose?

• Linear function

• Sigmoid function

• Hyperbolic tangent function

• All of the above

For a school project, Benjamin, David, and Priya are developing an AI model to recognize different types of fruits from images. They found that one type of AI is more commonly used in Image Recognition. Which one is it?

• Generative Adversarial Networks (GANs)

• Recurrent Neural Networks (RNNs)

• Convolutional Neural Networks (CNNs)

• Support Vector Machines (SVMs)

Sophia, Daniel, and Oliver are working on a project for their Artificial Intelligence class. Their project involves unsupervised learning and they need to choose the appropriate algorithms. They are considering several lists of algorithms. Which list should they consider for their project?

• Linear regression, Logistic regression, Decision trees, Random forests, Support vector machines (SVM), Naive Bayes, K-nearest neighbors (KNN)

• Unsupervised learning, Reinforcement learning, Semi-supervised learning

• Artificial intelligence, Machine learning, Deep learning

• Clustering, Dimensionality reduction, Association rule learning

Ethan, Ava, and Lily are working on a Natural Language Processing project. They come across the term 'word embeddings'. What are word embeddings in this context?

• Word embeddings are a type of cloud formation that Ethan, Ava, and Lily might observe while working on their project

• Word embeddings are a type of dance move that Ethan, Ava, and Lily might perform while taking a break from their project

• Word embeddings are a type of word representation that Ethan, Ava, and Lily might use in their Natural Language Processing project

• Word embeddings are a type of sandwich that Ethan, Ava, and Lily might eat while working on their project

During a study group session, Charlotte, Harper, and Maya were discussing various NLP models. Harper mentioned a model called 'Transformer'. Maya, unfamiliar with the term, asked, 'What is a Transformer in NLP?'

• A type of electrical device used to change the voltage of an alternating current

• A deep learning model that uses self-attention mechanisms to process sequential data

• A popular movie franchise about robots that can change into vehicles

• A term used to describe a person who changes their behavior to fit in with different social groups

Mia, Abigail, and Benjamin are working on a project to analyze customer reviews. They need to convert the text data into a format that their machine learning model can understand. What is this process called?

• Converting text into audio files

• Converting text data into numerical vectors

• Turning text into images

• Transforming text into binary code

What is Self-attention ?

• Self-attention is a mechanism that only focuses on the beginning of a sequence.
• Self-attention is a mechanism that allows a sequence to consider other parts of the same sequence when making predictions.
• Self-attention is a mechanism that ignores the rest of the sequence when making predictions.
• Self-attention is a mechanism that only considers external sequences when making predictions.