What are the main challenges of on-device edge AI mobile app development?
The main challenges include managing hardware fragmentation across different smartphone models and chipsets, balancing trade-offs between model accuracy, size, latency, and power consumption, handling unpredictable real-world performance drops, and establishing continuous pipelines for model updates with robust rollback strategies.