Evaluating the Efficiency of Open-Source AI Chat Models in Local Deployments
This study evaluates the performance and operational practicality of locally deployed large language models (LLMs) as organizations seek cost-efficient, privacy-preserving alternatives to cloud AI. The objective is to generate workflow-aware evidence that supports informed model selection for automation use cases. Four...