What Is Data-Centric AI In Practice? скачать в хорошем качестве

What Is Data-Centric AI In Practice?

In this talk presented at NVIDIA GTC 2022, Machne Learning Engineer, Aarti Bagul, dives into data-centric AI, diving into what is data-centric AI, the programmatic labeling approach with Snorkel Flow, and tackling real-world applications with the platform. 0:00 Introduction 0:28 Model-centric AI 2:53 Real world challenges of training data 3:55 Manual labeling makes data-centric AI development challenging 4:31 Data-centric Al with Programmatic Labeling 5:24 Programmatic Labeling: Key Idea 6:00 What's a Labeling Function? 6:45 Labeling Functions can conflict and be imprecise; Snorkel Flow resolves those issues automatically 8:05 Programmatic Labeling Pipeline 9:13 Error analysis More related videos:    • AI Data Development: Building Better AI Th...   12:30 With manual labeling, if your label schema changes, you individually review and re-label your data. 12:56 With programmatic labeling, you update your labeling functions and apply them to your training data. This process takes minutes. 14:02 Value realized with Snorkel Flow 15:26 A Fortune 500 Insurer automated and accelerated their underwriting process with Snorkel Flow 17:18 Genentech extracted & structured information from clinical trial documents with Snorkel Flow #datacentricai #nvidiagtc2022 #machinelearning