Generative AI: The Big Picture - Quiz

Question 1

What is the difference between training and inference?

Training learns patterns and adjusts model parameters, while inference uses the trained model with new input Training and inference are exactly the same process Inference always retrains the model from scratch Training only happens after a model generates an answer

Question 2

What is the role of a prompt in Generative AI?

It provides an instruction or input that helps guide the generated output It permanently changes the training dataset It guarantees that every answer will be correct It replaces the trained model

Question 3

Why is context important to a Generative AI system?

It can provide information such as previous messages, documents or retrieved information that influences the output Context is only used to store passwords Context automatically guarantees factual accuracy Context is unrelated to the generated response

Question 4

Which sequence best represents a simplified Generative AI workflow?

Training Data → Training → Model → Prompt + Context → Inference → Generated Output → Human Review Prompt → Delete Model → Training → Output → No Review Output → Training → Prompt → Delete Data → Model Human Review → Output → Training → Prompt → Model

Question 5

Which of the following can Generative AI produce?

Text, images, audio, video and computer code Only text Only images Only numerical calculations

Question 6

Why is human review important when using Generative AI?

Because generated output can contain errors, bias, security problems or other issues Because AI cannot generate useful content Because human review automatically retrains the model Because every AI response must always be rejected

Question 7

Why is a Generative AI model only one component of a complete AI application?

An application can also contain interfaces, databases, APIs, retrieval systems, security controls and other software components The model is always the entire application A model automatically provides user authentication and databases A model automatically manages every business rule

Question 8

What is one important principle of responsible Generative AI use?

Verify important information, protect sensitive data, consider risks and maintain appropriate human accountability Trust every generated answer without checking it Provide every confidential document to any AI system Allow AI to make every important decision without review