Understanding Generative AI
Which best describes the main purpose of Generative AI?
- To create new content such as text, images, or music
- To only sort data into categories
- To check spelling in documents
- To calculate mathematical equations rapidly
- To store large amounts of information
Text Generation Example
If you ask an AI to write a poem about summer and it creates a brand new poem, which capability is this showing?
- Generative ability
- Descriptive ability
- Predictive sorting
- Data collection
- Memory retrieval
Understanding Prompts
What is a 'prompt' in the context of Generative AI?
- A user's instruction or question to the AI
- An error in the AI's code
- A storage location for data
- A sound made by a device
- A unique AI language
Image Generation Scenarios
Which scenario best demonstrates image generation with Generative AI?
- An AI drawing a new portrait from a text description
- An AI sorting images into folders
- An AI increasing the brightness of a photo
- An AI translating text into another language
- An AI tracking colors in a video
Limitations of Generative AI
Which is a common limitation of Generative AI tools?
- They may sometimes produce content that is inaccurate or nonsensical
- They guarantee all facts are correct
- They cannot generate more than 10 words at a time
- They work without any training data
- They never repeat themselves
Generative AI in Music
If an AI system creates a brand new melody after being given a style, what is this an example of?
- Music generation
- Music labeling
- Audio compression
- Storage expansion
- Data transfer
Difference from Traditional AI
How does Generative AI mainly differ from traditional AI systems?
- It produces new content rather than just analyzing or sorting existing data
- It requires zero user inputs to function
- It only uses handwritten rules
- It can only answer true or false questions
- It ignores user instructions
Applications of Generative AI
Which is NOT a typical application of Generative AI?
- Measuring temperatures
- Creating fictional stories
- Designing new patterns for fabrics
- Making unique artworks from scratch
- Composing original music
Understanding Training Data
Why is high-quality training data important for Generative AI?
- It helps the AI learn to create accurate and relevant content
- It acts as the power source for the computer
- It increases the price of the technology
- It directly speeds up the internet connection
- It changes the physical appearance of the AI
Risks in Usage
What is one potential risk when using Generative AI for creating news articles?
- The AI might accidentally generate misleading or false information
- The article will always be written in cursive font
- The AI cannot generate more than one sentence
- The article will contain only pictures and no text
- The AI requires no prompts from users