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IntroductionTable 1: Infrastructure & Hardware Optimization StrategiesTable 2: Model Compression & Optimization TechniquesTable 3: Inference Optimization StrategiesTable 4: Model Selection & Routing StrategiesTable 5: Prompt Engineering & Data OptimizationTable 6: Caching & Reuse StrategiesTable 7: Training & Fine-Tuning Cost OptimizationTable 8: Alternative Approaches & Deployment StrategiesTable 9: Monitoring, Governance & Operational OptimizationTable 10: Application-Level Cost Control & Business StrategiesReferencesModel Optimization & CompressionQuantization & Model CompressionInference Optimization & ServingPrompt Engineering & CachingFine-Tuning & Training OptimizationRAG & Alternative ApproachesEdge Deployment & Local InferenceMonitoring & ObservabilityModel Routing & CascadingServerless & Auto-ScalingAdditional Cost Optimization ResourcesVideo ResourcesAdditional Technical ResourcesRAG & Context ManagementStructured Outputs & Response ControlResponse & Embedding CachingTraining & Fine-Tuning Cost OptimizationInfrastructure & Deployment OptimizationObservability & GovernanceAdvanced Optimization TechniquesAdditional Academic & Industry PapersServerless & Infrastructure ManagementCost Analysis & Best PracticesAdditional Optimization Strategies (2025-2026)Additional Resources & GitHub RepositoriesAdvanced GPU Memory & Inference Optimization (2024-2026)Small Language Models & Efficient Architectures (2025-2026)Emerging Architectures & Advanced Techniques (2024-2026)Context Compression & Production Deployment (2024-2026)SummaryEmerging & Advanced Techniques (2024-2026)Quick Wins (Easiest to Implement, Immediate Impact)Infrastructure & Model-Level OptimizationsStrategic & Advanced TechniquesApplication-Level Controls (Table 10)Impact by Strategy Type & TimelineTechnology Maturity & AdoptionRecommended Implementation RoadmapOverall Impact