Lesson 2079 of 2116
On-Device AI: Running Models on Your Phone and Laptop
What works locally now, what does not, and why it matters.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2on-device AI
- 3quantization
- 4privacy
Concept cluster
Terms to connect while reading
Section 1
The premise
Modern phones and laptops can run capable AI models locally — at lower quality than frontier cloud models but with privacy, latency, and offline benefits. The line moves every few months in favor of local.
What AI does well here
- Running 3B-8B parameter models on consumer hardware
- Keeping sensitive data on the device — never sent to a server
- Working offline for transcription, summarization, and assistance
- Reducing per-call cost effectively to zero after model download
What AI cannot do
- Match frontier cloud models on hard reasoning tasks today
- Run the latest largest models — most exceed consumer RAM/VRAM
- Avoid the model-update problem — local models do not auto-improve
Key terms in this lesson
End-of-lesson quiz
Check what stuck
15 questions · Score saves to your progress.
Tutor
Curious about “On-Device AI: Running Models on Your Phone and Laptop”?
Ask anything about this lesson. I’ll answer using just what you’re reading — short, friendly, grounded.
Progress saved locally in this browser. Sign in to sync across devices.
Related lessons
Keep going
Creators · 40 min
Quantization: Where the Quality Cliff Hides
Quantization reshapes serving and quality tradeoffs. This lesson covers why it matters and how to evaluate adoption.
Creators · 9 min
AI for Resume English (Immigrant Career Edition)
American resumes look different from many other countries. AI can format your work history in the U.S. style and translate foreign job titles.
Creators · 9 min
Privacy Concerns for Non-Citizens Using AI
Immigrants and non-citizens need to be extra careful with AI tools. What you type may be saved or seen.