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MLOps.community
MLX: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112
Aug 3, 2022
50:17
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- MLflow provides an opinionated workflow that automates the entire ML life cycle, streamlining the process for data scientists.
- Real-time ML poses challenges and opportunities in productionizing models, striking a balance between capabilities and minimizing burden on data scientists.
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Building an Opinionated ML Workflow with MLflow
MLflow is being developed to simplify the machine learning (ML) workflow and make it more accessible for data scientists. The focus is on enabling collaboration and standardization between different roles involved in ML, such as data scientists, production engineers, and data engineers. The key idea is to provide an opinionated workflow that automates the entire ML life cycle, from development to production. MLflow aims to streamline the process by offering pre-implemented components and best practices, allowing data scientists to focus on modeling and reasoning while the platform takes care of the rest.
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