Bridging LLMs to New Platforms
A top-down testing approach for deploying AI on mobile, browsers & beyond
TapML introduces a novel engineering approach for deploying emerging AI models on diverse platforms (WebGPU, Metal) beyond traditional server GPUs.
- Addresses the deployment gap between rapidly evolving models and non-traditional computing platforms
- Employs a top-down testing methodology that starts with end-to-end validation before diving into component-level debugging
- Provides systematic debugging tools to identify and resolve performance and compatibility issues
- Enables broader AI accessibility by bringing LLMs to browsers and mobile devices
This research significantly expands the reach of AI applications beyond traditional environments, creating new opportunities for businesses to deploy advanced models in consumer-facing applications.