On device ml inference
On Device Ml Inference Deep Dive
Overview
- Define constraints and target outcomes clearly.
- Explain tradeoffs and alternatives.
- Connect decisions to reliability, maintainability, and delivery speed.
Core Concepts
- Define constraints and target outcomes clearly.
- Explain tradeoffs and alternatives.
- Connect decisions to reliability, maintainability, and delivery speed.
Internal Implementation
- Define constraints and target outcomes clearly.
- Explain tradeoffs and alternatives.
- Connect decisions to reliability, maintainability, and delivery speed.
Runtime / System Flow
- Define constraints and target outcomes clearly.
- Explain tradeoffs and alternatives.
- Connect decisions to reliability, maintainability, and delivery speed.
Architecture and Tradeoffs
- Define constraints and target outcomes clearly.
- Explain tradeoffs and alternatives.
- Connect decisions to reliability, maintainability, and delivery speed.
Code Examples
fun decision() = "Measure before optimize"
Common Interview Questions
- Q: When should AI inference run on-device vs cloud?
A: Answer with practical constraints: privacy, latency, battery, and governance; then explain rollout strategy and how you would monitor quality in production.
- Q: What is needed for robust voice UX pipelines?
A: Use a delivery pipeline narrative: separate pre-submit and post-submit checks, gate promotion on quality signals, roll out gradually, and keep an immediate halt path.
- Q: What observability is required for on-device inference?
A: Answer with practical constraints: privacy, latency, battery, and governance; then explain rollout strategy and how you would monitor quality in production.
Production Considerations
- Define constraints and target outcomes clearly.
- Explain tradeoffs and alternatives.
- Connect decisions to reliability, maintainability, and delivery speed.
- Define constraints and target outcomes clearly.
- Explain tradeoffs and alternatives.
- Connect decisions to reliability, maintainability, and delivery speed.
Senior-Level Insights
- Define constraints and target outcomes clearly.
- Explain tradeoffs and alternatives.
- Connect decisions to reliability, maintainability, and delivery speed.