Standard
Boosting Small Language Model Efficiency: How Key-Value Prefix Caching Cuts Inference Costs by Over 50 Percent
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…
