Nesa launches a decentralized AI reputation system based on deep reinforcement learning
Foresight News reports that AI blockchain project Nesa has launched a decentralized AI reputation system based on deep reinforcement learning, aiming to help other decentralized AI networks address scalability challenges. The system is divided into three control loops: per-request routing, hot-swap and capacity rebalancing, and miner-level evolution. Through feedback learning, the system balances latency, cost, and utilization.
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