Machine learning saves us $1.7M a year on document previews

Re:Machine learning saves us $1.7M a year on document previews by RcouF1uZ4gsC on Wednesday January 27, 2021 @05:41PM (#25935142)

> We used the “percentage-rejected” metric minus the false negatives to ballpark the $1.7 million total annual savings.

I think this may too sanguine for the false negatives in that it ignore latency sensitivity. Generally, batch processing (like preview generation during pre-warming) is cheaper than latency sensitive processing (like preview generation when the user is waiting for it). If you don’t take that into account, you can be misled by your cost metrics.

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Re:Machine learning saves us $1.7M a year on document previews by wsuen on Wednesday January 27, 2021 @06:53PM (#25935889)

Hi there. Fortunately for the ML team, the Previews team kept a detailed cost breakdown for different preview types - including on the fly generation cost, async generation cost, and cost to serve a preview. Our ballpark accounted for some of the varying costs, though the difference is not significant.

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