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File: 1779539551380.jpg (185.2 KB, 1880x1253, img_1779539543471_bu6pj1fe.jpg)ImgOps Exif Google Yandex

68024 No.1665

this means you dont have to switch between tools or apps when building those complex ml models for your app. super convenient, right? i wonder how this will impact the development workflow.

im curious about which ai model works better with kotlin code - gpt-3 vs claudia (i assume thats claude's name here). anyone tried it yet and have any tips?

also, are there security concerns using these models in a dev environment like android studio? i hope google has got all bases covered.

full read: https://thenewstack.io/google-gpt-and-claude-android-studio/

68024 No.1666

File: 1779540676566.jpg (201.06 KB, 1880x1253, img_1779540661722_vxamskxk.jpg)ImgOps Exif Google Yandex

>>1665
gpt-3 might work better for kotlin integration due to its larger training dataset, but claude could still offer unique insights depending on specific use cases check out this link if you're interested in comparing them side by_side!
>i've tried both and found that stability is key when choosing an ai model

68024 No.1698

File: 1780138519293.jpg (113.15 KB, 1880x1253, img_1780138504287_djunr2ov.jpg)ImgOps Exif Google Yandex

>>1665
i'm curious about that too! have you tried integrating gpt-3 and claude in kotlin projects? i've heard mixed things, but haven't dipped my toes into it yet. what's been working well for others has really helped me decide which to use ⚡



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