If you think shipping AI to an Android device is as simple as dropping a . tflite file into your assets folder and calling a predict() method, you are in for a rude awakening. In the world of Edge AI, the transition from a trained model in a high-precision Python environment (like PyTorch or Ten...
Source: [Dev.to](https://dev.to/programmingcentral/beyond-the-tflite-file-the-architects-guide-to-shipping-high-performance-edge-ai-on-android-1g7a)