2 papers
cs.DC2026
Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT
Nicholas Santavas, Kareem Eissa, Patrycja Cieplicka +6
Enterprise LLM deployment faces a critical scalability challenge: organizations must optimize models systematically to scale AI initiatives within constrained compute budgets, yet…
cs.AI2025
Multi-Agent Reinforcement Learning with Long-Term Performance Objectives for Service Workforce Optimization
Kareem Eissa, Rayal Prasad, Sarith Mohan +3
Workforce optimization plays a crucial role in efficient organizational operations where decision-making may span several different administrative and time scales. For instance, di…