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1. 4d
   Production AI failures demand observability and agent governance

   InfoQ reported on a practitioner webinar about failures that can emerge when AI systems reach production, including semantic drift, embedding drift, sensitive-data exposure and errors that bypass conventional tracing. Participants described a financial compliance agent whose false-positive and false-negative rates rose after an embedding-model update while infrastructure health checks remained normal. They recommended continuous online evaluation, automated style and syntax checks, mutation testing, red-team testing, threat modeling, strict agent permissions and production approval as a strategic business decision.

   InfoQ 中文 AI&大模型 · 🔥 0

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