Lesson 129 Quiz: Evaluating AI Applications

Question 1

What is the main purpose of evaluating an AI application?

Measure only how fast the AI model generates text Measure whether the complete application performs according to its requirements Determine which programming language was used to build the application Measure only the number of users accessing the application

Question 2

What is the main difference between model evaluation and AI application evaluation?

Model evaluation and application evaluation always measure exactly the same things Application evaluation examines only the user interface Application evaluation examines the complete system surrounding the AI model Model evaluation examines databases while application evaluation examines hardware only

Question 3

Why should an AI evaluation dataset contain representative real-world cases?

It guarantees that every future AI response will be correct It removes the need for production monitoring It reflects the situations and tasks the application is expected to handle It allows developers to avoid defining expected behavior

Question 4

What should be evaluated in a RAG application?

Only the final response length Only the number of documents stored in the vector database Only the speed of the language model Retrieval quality and the quality and grounding of the generated response

Question 5

Why is regression testing important for AI applications?

It detects unintended behavior changes after application changes It prevents developers from changing AI models It eliminates the need for evaluation datasets It guarantees that an AI application will never fail