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From Custom Logic to Unified Infrastructure: Optimizing LLM Model Routing

분류 체계에서 인프라로: LLM 라우팅 최적화의 실전 기록

Why it matters

This case study demonstrates how aligning classification taxonomy with embedding geometry can streamline LLM routing while improving accuracy. By merging redundant categories and centralizing routing logic in infrastructure, the system achieved both cost savings and operational simplicity, revealing a critical principle: let the model's geometric space dictate your taxonomy, not vice versa.

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Embedding routingk-NN classificationModel selectionTaxonomy designLLM infrastructure

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