ML Ops on Google Cloud Platform – The AI Assembly Line for Predictive and Generative Models
A foundational understanding of MLOps, defining it as the "assembly line for AI" for building, deploying, and managing machine learning systems, and distinguishes between predictive and generative AI. It then extensively details the unique challenges and tailored solutions for MLOps specifically for Generative AI, covering aspects like infrastructure, customization, artifact management, evaluation, monitoring, and integration with enterprise data, often referencing Vertex AI as a solution
A foundational understanding of MLOps, defining it as the “assembly line for AI” for building, deploying, and managing machine learning systems, and distinguishes between predictive and generative AI. It then extensively details the unique challenges and tailored solutions for MLOps specifically for Generative AI, covering aspects like infrastructure, customization, artifact management, evaluation, monitoring, and integration with enterprise data, often referencing Vertex AI as a solution