According to Foresight News, the blockchain AI Nesa has launched a decentralized AI reputation system based on deep reinforcement learning, aimed at helping other decentralized AI networks address scaling issues. The system is divided into three control loops: per-request routing, hot-swap and capacity rebalancing, and miner-level evolution. The system balances latency, cost, and utilization through feedback learning.
Nesa Launches Decentralized AI Reputation System Based on Deep Reinforcement Learning
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