Lesson 797 of 1455
AI model families: on-device models on your phone
Understand the AI running directly on your iPhone or Android.
Builders · Model Families · ~4 min read
The big idea
Apple Intelligence, Google's Gemini Nano, and others run small AI models directly on your phone. No internet needed, totally private. The trade-off: smaller and less smart than cloud AI.
Some examples
- Use Apple Intelligence to summarize messages
- Use Gemini Nano for quick text fixes
- Notice features that work in airplane mode
- Compare on-device summary to cloud summary
Try it!
On a recent phone, find an AI feature that works offline. Test it in airplane mode. Notice what's possible without the cloud — and what isn't.
Practice this safely
Try this with a school, hobby, or family example where the stakes are low. Use the AI output as a draft you can question, not as the final answer.
- 1Ask AI to explain on-device in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "AI model families: on-device models on your phone" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check mobile against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
8 questions · Score saves to your progress.
Lesson help
Questions are best handled with a grown-up here.
For this age range, Tendril keeps freeform AI chat paused until parent/guardian consent and child-safe moderation are fully verified. Use the quiz, notes, and related lessons below, or ask a parent, guardian, teacher, or librarian to work through the question with you.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Creators · 11 min
AI On-Device: Phi, Gemma, and When Tiny Models Make Sense
4B-parameter models run on your laptop and phone. They're not GPT-5 — but they're surprisingly useful.
Creators · 11 min
AI On-Device Models: Phi, Gemma, and the Edge Tradeoff
What current on-device AI models can do — and where edge inference falls short.
Creators · 11 min
Small Language Models on Device: Phi, Gemma, Llama 3.2 in Production
When a 3B-7B model on-device wins over an API call to a frontier model.
