Fallback and error handling in Prompt Engineering / GenAI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is fallback in the context of AI systems?

Fallback is a backup plan where the system provides a safe or default response when it cannot understand or process the input properly.

beginner

Why is error handling important in AI applications?

Error handling helps AI systems avoid crashes and gives users clear messages or alternative options when something goes wrong.

intermediate

Name one common method to handle errors in AI model predictions.

One common method is to check the confidence score of the prediction and if it is too low, trigger a fallback response or ask the user for clarification.

intermediate

How can fallback improve user trust in AI systems?

Fallback ensures users get meaningful responses even when the AI is unsure, making the system seem more reliable and less frustrating.

advanced

What is a graceful degradation in AI error handling?

Graceful degradation means the AI system continues to work in a simpler or limited way instead of failing completely when errors happen.

What should an AI system do when it cannot confidently answer a user's question?

A Provide a fallback response or ask for clarification

B Ignore the question and stay silent

C Give a random answer

D Crash the system

Fallback responses or asking for clarification help maintain good user experience and avoid confusion.

Which of the following is NOT a good practice in AI error handling?

A Logging errors for later review

B Providing clear error messages to users

C Hiding all errors without informing users

D Using fallback responses when uncertain

Hiding errors without informing users can cause confusion and reduce trust.

What does a low confidence score in AI prediction usually indicate?

A The AI is very sure about its answer

B The AI is unsure and might be wrong

C The AI has no data to answer

D The AI is ignoring the input

Low confidence means the AI is unsure and fallback or clarification is needed.

What is graceful degradation in AI systems?

A System continues working in a simpler way when errors occur

B System restarts automatically on error

C System hides errors from users

D System stops working immediately on error

Graceful degradation means the system keeps working with limited features instead of failing completely.

Fallback responses help AI systems to:

A Ignore user inputs

B Avoid any user interaction

C Always give the exact answer

D Crash less and keep users engaged

Fallback responses prevent crashes and keep the conversation going even when AI is unsure.

Explain what fallback and error handling mean in AI and why they are important.

Think about how AI behaves when it doesn't understand or makes mistakes.

Describe how confidence scores can be used to trigger fallback mechanisms in AI systems.

Consider how AI decides if it is sure enough to answer.