AI model families: on-device models on your phone

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-model-families-AI-and-on-device-models-teen

1. What makes on-device AI different from cloud-based AI in terms of data handling?

   1. On-device AI requires a constant internet connection to function
   2. On-device AI stores all data on external servers for faster processing
   3. On-device AI automatically uploads user data to cloud storage
   4. On-device AI processes data locally on your phone without sending it to the internet

2. Which of the following is a specific example of on-device AI mentioned in the lesson?

   1. Spotify for playing music
   2. Apple Intelligence for summarizing messages
   3. Google Search for finding information
   4. ChatGPT for answering questions

3. What happens to on-device AI features when you enable airplane mode?

   1. They automatically switch to cloud processing
   2. They work but produce incorrect results
   3. They stop working completely and show an error
   4. They continue to work because processing happens locally

4. What is the main trade-off when using on-device AI instead of cloud-based AI?

   1. You gain privacy but lose some capability and power
   2. You gain convenience but sacrifice security
   3. You get faster processing but use more battery
   4. You save money but lose accuracy

5. Which company develops Gemini Nano?

   1. Apple
   2. Amazon
   3. Microsoft
   4. Google

6. What does it mean for an AI model to be 'smaller' in the context of on-device AI?

   1. It is cheaper to develop
   2. It has fewer capabilities and less processing power
   3. It can only process text, not images
   4. It takes up less storage space on your phone

7. Why is on-device AI considered more private than cloud-based AI?

   1. Your data is deleted immediately after use
   2. Your data stays on your device and is never sent to external servers
   3. Your data is stored in a special secure folder
   4. Your data is encrypted with a stronger algorithm

8. If you wanted to use an AI feature that works in a remote area without cell service, what type of AI would you need?

   1. Cloud-based AI that requires internet
   2. On-device AI that runs locally on your phone
   3. Hybrid AI that switches between modes
   4. API-based AI that connects to servers

9. What is a limitation of on-device AI compared to cloud AI?

   1. It cannot perform complex tasks that require more computing power
   2. It cannot be updated with new features
   3. It cannot run on older phones
   4. It cannot learn from new data

10. Which of these is a key term from the lesson describing AI that runs directly on personal devices?

    1. Remote-processed
    2. Cloud-native
    3. On-device
    4. Server-side

11. Why do phone manufacturers include on-device AI on their devices?

    1. To provide AI features that work without internet and protect user privacy
    2. To make phones more expensive
    3. To compete with app developers
    4. To replace all cloud-based services

12. What is one practical activity the lesson suggests to understand on-device AI?

    1. Connect your phone to a computer
    2. Find an AI feature on your phone and test it in airplane mode
    3. Download a new AI app from the app store
    4. Reset your phone to factory settings

13. Which statement best describes the relationship between privacy and capability in on-device AI?

    1. On-device AI sacrifices privacy for better performance
    2. On-device AI and cloud AI have equal privacy and capability
    3. On-device AI prioritizes privacy by keeping data local, which limits its capabilities
    4. On-device AI has no privacy benefits over cloud AI

14. What type of phone features would NOT be considered on-device AI?

    1. A camera app that applies filters
    2. A weather app that requires downloading data
    3. A voice recorder that saves audio files
    4. A calculator that performs arithmetic

15. What is a reason someone might choose to use on-device AI over cloud AI?

    1. They want their data to remain private and not be sent to external servers
    2. They want access to the latest AI features
    3. They need AI to analyze very large datasets
    4. They need the most powerful AI available