Generative AI Quiz

Answers and explanations appear as you take the quiz.

1. Which output best illustrates generative AI as described in the guide?
   • A newly produced summary, image, audio clip or code sample
   • A fixed list of records copied without change
   • A report showing only whether a login succeeded
   • A hand-entered table with no model output
2. How does an autoregressive text model produce a sequence, according to the guide?
   • It retrieves a complete answer from a fixed encyclopedia
   • It predicts successive tokens using the text so far
   • It denoises random pixels into a picture
   • It converts a waveform into a class label
3. A fluent generated summary includes a claim not found in its source. What should the reviewer do?
   • Assume fluency signals accuracy
   • Remove the source to avoid comparison
   • Separate source statements from model inference and verify the claim
   • Publish it because summaries may add context
4. Which description matches diffusion-based image generation in the guide?
   • A system that searches the web for a matching finished picture
   • A system that copies clip art outlines
   • A system that writes one pixel row at a time
   • A system that transforms noisy representations into samples
5. What should be checked when evaluating generated code?
   • Only whether its comments are clear
   • Whether it behaves as intended, using meaningful tests
   • Whether it was produced in one try
   • Whether the prompt contains a question mark
6. Why should a generated citation be opened and checked?
   • Citation-shaped text can refer to a source that does not exist
   • Every model removes source details
   • A citation is always a training-data license
   • The guide says sources cannot support claims
7. Which evaluation plan best follows the guide?
   • Use one preference score for text, code and images
   • Judge an output only by how polished it sounds
   • Match checks to the artifact, such as factual consistency for a summary and behavior tests for code
   • Skip review when the model version is new
8. What information may help reproduce an output when that matters?
   • Only the user’s name
   • The color of the interface
   • The time of day
   • The model version, prompt, source material and settings