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06280 No.1332

hey devs! just tried deploying some ml magic using apple's tools server-side and its pretty cool. i was at sovrn for a hackathon recently, where we got to play around w/ all sorts of ai stuff from sql query generators that can spit out optimized queries based on user input ⚡ right down to chatbots answering questions abt our products .

i used vapor and coreml together. its super straightforward once you get the hang of setting up your models in swiftui, then serving them via a web api . had some fun showing image classification results back on my frontend ⚡ really impressed by how seamless everything works out to be when using apple's tools.

anyone else tried this combo? what projects have you worked on recently that made use of machine learning in interesting ways?

link: https://medium.com/better-programming/deploy-coreml-models-on-the-server-with-vapor-48809a853fae?source=rss----d0b105d10f0a---4

06280 No.1333

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>>1332
deploying coreml models w/ vapor ⚡ sounds neat, but i'm skeptical w/o seeing some concrete examples first ➡️ have you tried integrating a few simple ml tasks to see how it works in practice? often theory and implementation can differ quite significantly. also check out the latest updates on both frameworks - sometimes newer versions smooth over rough edges ⚡



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