Article: The Platform Engineering Playbook for Production LLMs

InfoQ (AI, ML & Data)
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A retail company reduced hallucinations in its production large language model (LLM) system from 15% to 1.5% by treating the LLM stack as platform infrastructure rather than just an application. Key improvements included automated error handling, intent validation, prompt management, strict tool authorization, and specialized monitoring beyond standard APM tools.

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