What role does WebAssembly play in browser-based offline AI?
WebAssembly or Wasm enables running AI models directly in web browsers without server communication. Projects like Transformers.js, ONNX Runtime Web, and WebLLM compile model inference code to Wasm, allowing execution at near-native speed in the browser. WebGPU provides GPU acceleration for browser-based inference. This enables privacy-preserving AI features in web applications where user data never leaves their device. Examples include on-device text processing, image classification, and even running small language models entirely in the browser tab. MediaPipe provides pre-built browser-based vision and NLP models. The limitations are browser memory constraints and slower initial model loading, but for targeted tasks browser-based offline AI provides an excellent user experience with zero backend infrastructure.