How do you deploy large scale ML/NLP projects in production?

Can anybody explain?

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We use a combination of tools to implement MLOps and to help us deploy products on scale. It will be a long answer to explain in this post, so I'd request you to read more about ML and cloud platforms such as Azure ML, GCP, SageMaker Vertex AI etc.

We have created a platform akin to SageMaker but using open-source components. Whenever I need to explain to my friends or to the interviewers, I take SageMaker as a reference and explain to them how we use free and open software such as gittea, Argo, Seldon, MINIO, Spark, Opensearch etc. inside a managed k8s cluster for each and every step of the deployment process.

I hope that helps.

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Thanks. I will check.

Explore MLops

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Could you share some resources to learn MLops

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