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As organizations increasingly look toward edge deployments and localized workloads, small language models (SLMs) have emerged as powerful engines for narrow automation tasks. However, achieving production-grade efficiency requires moving beyond standard inference loops that treat every API call or model execution as an isolated event. In the second installment of a technical series focused on…