dailyai.report

Only 7% of turns required a frontier model during benchmarks of NVIDIA NeMo Switchyard across 145 agent tasks. This routing strategy slashed costs by 74% while sacrificing only six accuracy points. LangChain data suggests most agentic workflows over-rely on expensive models. Practitioners can now optimize budgets by routing simple tasks to smaller, cheaper models.