Notes on Stanford MLSys Seminar Series-MLflow

https://mlsys.stanford.edu/

Which components does it include?

  • Tracking: experiments and data management

  • Reproducible execution

  • Model packaging and deployment using REST APIs

  • Model management

Massive #Model

They brought up an interesting topic about applying different models on different facility/customer, etc for the purpose of `

  • avoid interference across different entities

  • preserve privacy and compliance

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