How to Make Your Models Available to the Public

An end-to-end Machine Learning solution is an important way to bring AI to production and make it available for mass consumption and usage. But today, most AI practitioners simply do the pre-processing, training, evaluation and tuning stages and leave the remaining part to DevOps engineers. As such, a new field of development named MLOps has come into the mainstream. The focus has shifted from simply training and evaluation to also bringing and integrating it to production pipelines. On an individual level as well, knowing how to bring your model to the public is an important tool to have in an AI practitioner's skill-set.