Real-time ML Inference: How to Build Ultra-Low Latency Serving Architectures скачать в хорошем качестве

Real-time ML Inference: How to Build Ultra-Low Latency Serving Architectures

Unlock the secrets to deploying machine learning models seamlessly in high-traffic, real-time applications. This video will guide you through designing efficient, low-latency serving infrastructures used at scale by industry leaders such as YouTube, Netflix, and TikTok. Learn about end-to-end system design, key architectural trade-offs, common performance bottlenecks, and proven strategies for caching, batching, and scaling. We'll break down essential metrics (from accuracy to business KPIs), discuss how to maintain model freshness, and present concrete techniques and diagrams to ensure your ML solutions delight users at every millisecond. Perfect for ML engineers, aspiring system designers, and anyone preparing for senior tech interviews. #MachineLearning #MLInference #LowLatency #SystemDesign #MLServing #ProductionML #DistributedSystems #MLOps #TechInterview #Scalability #AI #Engineering