Conversational AI Quiz

Answers and explanations appear as you take the quiz.

1. In a classic task-oriented conversational AI pipeline, what does the natural language understanding (NLU) component do?
   • Converts text replies into speech audio
   • Identifies the user's intent and extracts key details called slots
   • Stores the conversation in a database forever
   • Trains the speech recognizer
2. What does a structured dialogue-state tracker maintain in the pipeline described here?
   • Relevant slot values and other task information across turns
   • Only the final audio waveform
   • A mandatory permanent record inside every model weight
   • Only an alphabetical word count
3. Why were older rule-based or rigid intent-based chatbots often described as 'brittle'?
   • They used too much electricity
   • They could only run on smart speakers
   • They struggled when users phrased requests in unexpected ways
   • They generated answers that were always too long
4. What role does natural language generation serve in a modular dialogue pipeline?
   • Only transcribing incoming audio
   • Only predicting a hardware temperature
   • Only storing a destination slot without wording
   • Expressing a selected response or action result in words
5. How can earlier chat turns affect a model response when they are included in its context?
   • They supply information the current generation can condition on
   • They necessarily become permanent new model weights
   • They guarantee unlimited recall of omitted messages
   • They erase the current user request by definition
6. Which is a major ongoing challenge for conversational AI?
   • Displaying text on a screen
   • Adding more buttons to a menu
   • Avoiding confidently wrong answers and knowing when to hand off to a human
   • Counting the number of words a user types
7. Which pipeline role selects whether to ask for a missing slot or take the next allowed task action?
   • Only the waveform decoder
   • Only a document filename sorter
   • Only a visual theme selector
   • The dialogue policy
8. Which component converts a spoken user request into text before a text-based dialogue pipeline processes it?
   • Only natural language generation of the reply
   • Automatic speech recognition
   • Only a database backup
   • Only a model-weight quantizer