#14 Resource-Aware AI Design | Resource-Aware Optimization in AI: Routing by Cost & Complexity скачать в хорошем качестве

#14 Resource-Aware AI Design | Resource-Aware Optimization in AI: Routing by Cost & Complexity

In this video, we explore *Resource-Aware Optimization in AI systems* and how intelligent routing based on *cost, complexity, and impact* helps teams build efficient, scalable production AI. You’ll learn how modern AI and agentic systems decide *when to use lightweight models vs powerful ones**, how to route tasks based on **query complexity**, and how to balance **quality, latency, and cost* at scale. We break down practical routing strategies that prevent over-engineering, reduce inference costs, and keep AI systems responsive—without sacrificing correctness or reliability. 🔹 What you’ll learn: What resource-aware optimization means in production AI Routing requests by cost, complexity, and risk Choosing between fast vs powerful models dynamically Preventing unnecessary compute and token waste Designing efficient, cost-controlled agent workflows Whether you’re building **LLM agents**, **RAG pipelines**, or **enterprise AI platforms**, this video shows how resource-aware design turns expensive demos into **sustainable, production-grade AI systems**. This video is ideal for *ML engineers, AI architects, MLOps teams, and platform engineers* focused on performance, scalability, and cost efficiency. 👍 Like, 📌 subscribe, and 💬 comment if you want real-world routing examples, architecture diagrams, or cost optimization patterns. #ResourceAwareAI #CostAwareAI #AIOptimization #SmartRouting #EfficientAI #LLMAgents #AgenticAI #ProductionAI #AICostOptimization #ScalableAI #AIArchitecture #MLOps #AIEngineering #ComputeEfficiency #GenerativeAI #agenticai