How to Build a Machine Learning Training and Deployment Pipeline

#artificialintelligence 

MLOps is essential for companies both large and small that build products and services powered by AI. Given the wide variety of tools and platforms that aim to solve different parts of the machine learning lifecycle, choosing between them isn't always easy. Building a machine learning training and deployment pipeline is a fractured experience from the get-go. Below, we'll go through Lightning's unified platform for training and deploying machine learning models in production. Lightning (by the same people who built PyTorch Lightning) is a platform that augments the capabilities of PyTorch Lightning beyond training, into serving, deploying, monitoring, and data engineering.

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