Machine Learning is moving from massive data centers to the device in your pocket.
1The Shift to the Edge
Traditionally, AI required massive server clusters. However, modern GPUs and optimized model formats (like ONNX and TensorFlow Lite) now allow browsers to run complex intelligence tasks. This shift is called 'Edge Computing'.
2Privacy and Cost
When you run ML locally, you don't pay for API tokens. Moreover, because the user's data never leaves their device, you can build applications that are inherently secure and private by design.
