January 2024
Intermediate to advanced
5 pages
10m
English
article
How Developers Can Lower AI’s Climate Impact
by Sanjay Podder, Senthil Ramani, Shalabh Kumar Singh
Content preview from How Developers Can Lower AI’s Climate Impact
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
How Developers Can Lower AI’s Climate Impact
AI development can be a power-hungry process, but there are tactics for reducing energy use and carbon emissions.
AI is booming. The public release of large language models like ChatGPT has popularized the technology, which was already becoming a critical driver of companies’ efforts to innovate and grow. But as these models get bigger, so too does their appetite for energy: Training the open multilingual language model BLOOM produced nearly 24.7 tons of carbon emissions. AI itself might be a valuable tool for helping to find opportunities for sustainability improvements, but it could also become a drag on collective efforts ...
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