Remove reviews categories fitness-trackers
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MLOps Is an Extension of DevOps. Not a Fork — My Thoughts on THE MLOPS Paper as an MLOps Startup CEO

The MLOps Blog

Founded neptune.ai , a modular MLOps component for ML metadata store , aka “experiment tracker + model registry”. We should build ML-specific feedback loops (review, approvals) around CI/CD. With CI/CD, you get automatically triggered tests, approvals, reviews, feedback loops, and more. Lived through the DevOps revolution.

DevOps 59
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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

as an experiment tracker , integrates with over 30 MLOps tools and platforms. Assess the pricing models, including any hidden costs, and ensure they fit your budget and scaling requirements. Model review, collaboration, and sharing : can you approve models automatically and manually before moving to production?

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Google Research, 2022 & Beyond: Responsible AI

Google Research AI blog

Societal Context Data: We used our experimental societal context repository (SCR) to supply the Perspective team with auxiliary identity and connotation context data for terms relating to categories such as ethnicity, religion, age, gender, or sexual orientation — in multiple languages.