Understanding Generative AI Concepts

What is the definition of Generative AI?

• Artificial intelligence that only classifies data

• Artificial intelligence that creates new content or data based on input

• Artificial intelligence that only stores information

• Artificial intelligence that deletes data

Answer explanation

Generative AI refers to artificial intelligence that creates new content or data based on input, distinguishing it from other types of AI that may only classify, store, or delete information.

Which of the following is an example of an input type for Generative AI?

• Text

• Water

• Temperature

• Wind speed

Answer explanation

Text is an input type for Generative AI, as it allows the model to generate responses based on written prompts. The other options, like water, temperature, and wind speed, are not relevant input types for this technology.

Which of the following is a possible output type from a Generative AI model?

• Image

• Battery

• Keyboard

• Mouse

Answer explanation

Generative AI models can create various outputs, and one common type is images. The other options, such as battery, keyboard, and mouse, are physical objects and not outputs generated by AI.

Which of the following best describes a limitation of Generative AI?

• It can only work with numbers

• It may produce inaccurate or biased outputs

• It never makes mistakes

• It can only be used for gaming

Answer explanation

The correct choice highlights a key limitation of Generative AI: it may produce inaccurate or biased outputs due to the data it was trained on, which can lead to unreliable results.

Which of the following is NOT a type of Generative AI?

• Generative Adversarial Networks (GANs)

• Convolutional Neural Networks (CNNs)

• Variational Autoencoders (VAEs)

• Transformer-based language models

Answer explanation

Convolutional Neural Networks (CNNs) are primarily used for image processing tasks, not generative tasks. In contrast, GANs, VAEs, and transformer-based models are all types of Generative AI.

Which tool would you use to generate realistic images from text descriptions?

• DALL-E

• Excel

• PowerPoint

• Notepad

Answer explanation

DALL-E is an AI tool specifically designed to generate realistic images from text descriptions, making it the correct choice. Excel, PowerPoint, and Notepad are not intended for image generation.

Which of the following is an application of Generative AI?

• Creating new music compositions

• Measuring temperature

• Calculating speed

• Storing files

Answer explanation

Creating new music compositions is a clear application of Generative AI, as it involves generating original content. The other options, like measuring temperature and calculating speed, are not generative tasks.

Which process is commonly used by Generative AI to produce outputs?

• Pattern recognition

• Content generation based on learned data

• Data deletion

• Manual drawing

Answer explanation

Generative AI primarily relies on content generation based on learned data, utilizing patterns and information from training datasets to create new outputs, making this the correct choice.

Which of the following is a way Generative AI models can be customized?

• By training them on specific datasets

• By changing the color of the computer

• By increasing the room temperature

• By using a different keyboard

Answer explanation

Generative AI models can be customized by training them on specific datasets, allowing them to learn and adapt to particular tasks or domains. The other options do not relate to model customization.

Which of the following is a correct pairing of input and output types in a Generative AI scenario?

• Text input, image output

• Water input, sound output

• Temperature input, text output

• Wind input, number output

Answer explanation

The correct pairing is 'Text input, image output' because generative AI can take textual descriptions and create corresponding images, a common application in AI art generation.