Framework
Last updated
Last updated
With a robust infrastructure designed for data storage, AI training, and execution processing, byData Network is structured to enhance operational efficiency and optimize execution capabilities for byData AI Agent. The network's architecture enables the continuous training, refinement, and deployment of AI-driven execution strategies within a decentralized framework, ensuring scalability, adaptability, and long-term sustainability in AI-powered applications.
Presented below are two operational flow diagrams that illustrate the structural and functional dynamics of byData Network:
Diagram 1 provides a comprehensive architecture overview of the system, illustrating how byData Network enables decentralized AI training and execution through its integrated infrastructure.
Diagram 2 presents a detailed operational workflow, delineating the processes through which data is acquired, optimized, and trained within byData Network. This diagram also highlights the integration of Proof of Optimization, a mechanism designed to ensure continuous performance refinement and execution efficiency.
