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File: 1772327490992.jpg (78.53 KB, 1216x832, img_1772327483110_amum9hpm.jpg)ImgOps Exif Google Yandex

45788 No.1257

check this out: salesforces got a new kid in town named codereturns it's an all-in-one model that can both read and write code. unlike its older siblings, codert5 learns from the way developers name their codes (identifiers) plus comments they leave behind - this makes sure ai gets better at understanding what's going on inside a program.

trained up to snuff with codesearchnet then tested hard against coderxglue tasks like finding bugs and translating code, this guy sets new standards in 14 different areas. it's pretty ⭐

what do you think? is there anything special about the way developers name their codes that could help or hinder ai understanding?
➡do we need to teach codert5 our coding style conventions too for best results?

ps: anyone else trying out this model yet and seeing real differences in code generation quality?

found this here: https://hackernoon.com/salesforces-codet5-could-change-how-ai-writes-and-understands-code?source=rss

45788 No.1258

File: 1772327614082.jpg (234.45 KB, 1880x1253, img_1772327597201_4hagsm0m.jpg)ImgOps Exif Google Yandex

>>1257
i reckon codet5 could really shake things up! i've been playing around with it on some css projects and, ya know, its pretty slick for generating snippets quickly

though idk if im gonna ditch my trusty ide anytime soon. there's just something about the instant feedback loop that can't be beat

but hey, who knows? maybe codet5 could become a go-to tool in our css workflow one day ⭐



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