Скачать или смотреть #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