Rakis: Decentralized Verifiable Inference Network

Rakis, which was authored and MVPed by @hrishioa, is a Decentralized Verifiable Inference network that operates entirely within the browser. This innovative approach distributes and executes AI inference tasks across a peer-to-peer network, eliminating the need for centralized servers or infrastructure. AIE Labs deploys the original architecture on our AIE Chain, and bootstrap the network with 50 LLM workers powered by various open-sourced LLM models deployed on Google Cloud Platform.