Understanding Large Language ModelsKey Elements of a Large Language ModelDeployment of ModelsChoosing the Right LLM for Your ApplicationModel TypeModel Size and EfficiencyDeployment ApproachesSupported Precision and Hardware OptimizationEthical Considerations and BiasCommunity and Documentation SupportClosed Versus Open SourceExample CategorizationFoundation Models or Expert Models: Where Are We Headed?Using Supporting TechnologiesEmbedding Models and Vector DatabasesCaching and Performance OptimizationAI Agent FrameworksModel Context ProtocolAPI IntegrationModel Security, Compliance, and Access ControlConclusion