Your AI Model is Too Big for Edge Devices | Recipes for MLOps

Description

This video introduces the "Fashion on the Edge" AI prototyping recipe, demonstrating how to train an AI model, shrink it using "quantization", and then deploy it to an edge device. We explore the use of tools like ZenML for "ml pipelines" and MLflow for "experiment tracking", highlighting the unique aspects of "edge ai" for optimizing "ai models" for deployment. This approach provides practical insights into efficient "deployment strategies" for AI. 🔗 Get the cookbook (link in comments)