Task-to-Model Optimization for Enterprise LLM Coding Assistants: A Data-Driven Framework for Cost-Optimal Routing
This work presents Task-to-Model Optimization (T2MO), a data-driven methodology for optimizing model selection in production coding workflows, and describes the methodology, optimization objective, evaluation protocol, and governance loop in a form suitable for production deployment and future empirical study.
Srinivasan Manoharan, Junhua Zhao, Fang Tu et al.
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