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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