Generative AI Quiz 02

What is Generative AI?

• A type of artificial intelligence technology that can produce various types of content

• A type of artificial intelligence technology that can only produce text

• A type of artificial intelligence technology that can only produce images

• A type of artificial intelligence technology that can only produce audio

What is needed to create a generative AI model?

• No dataset is needed

• A dataset of only text

• A large dataset for the model to learn from

• A small dataset for the model to learn from

What is the purpose of preprocessing data for a generative AI model?

• Preprocessing is not necessary

• To confuse the model

• To make it harder for the model to understand

• To make it easier for the model to understand

What is the most common type of generative AI model?

• Recurrent Neural Network (RNN)

• Generative Adversarial Network (GAN)

• Deep Belief Network (DBN)

• Convolutional Neural Network (CNN)

What is the role of the discriminator in a GAN model?

• Generates new content based on the input

• Evaluates the content and provides feedback to the generator

• Adjusts the output based on feedback from the generator

• Trains the model using preprocessed data

What happens during training of a generative AI model?

• The generator creates new content based on random inputs

• The model generates content without any training

• The discriminator creates new content based on random inputs

• The model is tested with real data

What can a text-based generative AI model do?

• Generate a new audio clip based on input

• Generate a new image based on input

• Generate a new video based on input

• Generate a new paragraph or story based on input

What is an AI prompt?

• A set of instructions or input provided to an AI model to generate a response

• A type of AI model

• A type of AI dataset

• A type of AI architecture

What is the purpose of prompt engineering?

• To avoid generating responses

• To confuse the AI model

• To provide incomplete instructions

• To carefully design and refine instructions for the desired output

What is a completion prompt used for?

• Making the AI model compare different elements

• Providing explicit instructions for the AI model to follow

• Asking a specific question prompting the AI model to generate a related response

• Providing an incomplete sentence and asking the AI model to generate a coherent continuation