One million machine learning specialists are needed by 2027. These bootcamps are teaching the in-demand skills
fortune.com
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Companies like Simplilearn, edX, and Springboard are hoping to bridge the talent gap in machine learning.

I personally think it’s a lot of bs

@De_Narm@lemmy.world
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Not with the stuff we currently have.

Image generation is neat. But now there are so many badly generated images out there that any new model likely feeds on shitty data. Also the whole copyright debate for the images used.

LLM are neat. But there is no point in widespread adoption. Any model that is built to generate correct sentences but not correct content kind of wastes a lot of time for the user and nothing else. They are inpressive, they can be fun and sometimes they are really helpful - but you never know whether or not they hallucinate any given information.

Voice and Avatar generation is neat. Like genuinely neat. But you rgey are so easy to use already, you don’t nees that many specialists.

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