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From notebooks to Netflix scale with Metaflow
Practical AI: Machine Learning, Data Science, LLM
Using Meta Flow in a Workflow?
Aflow has been built with this cloud first mind set. You can specify the resources you need, if your function needs chep use or unit of memory. In other cases it is cost prohibitive to have any kind of like uniform, one size fits all. We are indicrating functions now with a wffrate system that do some things well and others not so well. But then when you want to test these things locally in production they're always metarryable. So we take care of lighten, packach in the cod sending it to the cloud, executing on the container,. handling three tris there? And I mean, the same thing, i mean,
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