Introduction
What is ZkAGI?
ZkAGI (Zero-Knowledge Artificial General Intelligence) is a framework designed to advance decentralized physical infrastructure networks (DePIN) by promoting privacy-preserving AI technologies. It incentivizes GPU providers, model trainers, AI developers, and data owners to participate in a secure ecosystem through federated learning and zero-knowledge proofs.
- Privacy-preserving AI using cryptographic techniques for zero-leakage model inference
- Decentralized AI model training and inference using GPU networks across a global scale
- Zero-Knowledge Machine Learning (ZKML) for verifiable AI execution without revealing sensitive data
- Transformer-based Large Language Models (LLMs) for accurate natural language processing
- Integrates federated learning and zero-knowledge proofs to keep AI model inference and data private
What does the ZkAGI architecture look like?
The ZkAGI integration architecture connects decentralized GPU networks, privacy-preserving cryptographic layers, and AI model hosting into a unified system. It enables secure, verifiable AI inference across a distributed infrastructure.
Overview of the ZkAGI Integration Architecture