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8:32
mlops.community
Feature Stores for Machine Learning: Evaluation and Comparison
The MLOps community shares real-world ML operations best practices and created a feature store evaluation framework to help you choose the right product for your needs.
May 10, 2021
Feature Store Architecture
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An AI data center is being advanced in Saline, Michigan, and DTE provided only a heavily redacted contract with the most important parts hidden. If data centers are “good for Michigan” (debatable!) then why can’t we have transparency? #michigan #saline #datacenter #fupシ
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forthesakeoftheargument
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Dumb on Instagram: "Storage problems aren’t just frustrating — they actually reveal how our devices organize and manage data. Computers, phones, and cloud services all divide memory into blocks, and when those blocks fill up, the system slows down or refuses new data. Even deleting files doesn’t always free space efficiently because of temporary caches and hidden system files. The wild part? Studies in tech psychology show that people often overestimate free space or forget about old downloads,
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