Explore the revolutionary approach of deploying Large Language Models (LLMs) directly in web browsers using WebAssembly (Wasm) and WebGPU technologies. Learn how this innovative method eliminates the need for extensive cloud GPU clusters and reduces reliance on constant internet connectivity. Discover practical examples showcasing efficient cross-platform ML model execution with Wasm and optimized parallel computation within browsers using WebGPU. Gain insights into how this fusion empowers developers and users with unprecedented ease and efficiency in browser-based machine learning while reducing dependence on centralized cloud infrastructure. Understand the potential impact of this technology on the future of ML deployment and accessibility in today's interconnected world.
LLMs Anywhere - Browser Deployment with Wasm and WebGPU
CNCF [Cloud Native Computing Foundation] via YouTube
Overview
Syllabus
LLM's Anywhere: Browser Deployment with Wasm & WebGPU - Joinal Ahmed & Nikhil Rana
Taught by
CNCF [Cloud Native Computing Foundation]