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CNBC AI News, July 17
Original article, Author: Tobias. If you wish to reprint this article, please indicate the source:https://aicnbc.com/4987.html
th, 2024 – A new report highlights the significant environmental impact of training large AI models. The study, conducted by researchers at the University of California, Berkeley, estimates the carbon footprint of training a single large language model to be equivalent to several transatlantic flights. The report emphasizes the need for more efficient AI training methods and the use of renewable energy sources to mitigate the environmental costs of AI development. The findings are raising concerns among environmental advocates and policymakers.
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A recent report from UC Berkeley reveals the substantial carbon footprint of training large AI models, equivalent to several transatlantic flights for a single model. This highlights the urgent need for more efficient training methods and the adoption of renewable energy sources to reduce the environmental impact of AI development. The findings are prompting concerns from environmental advocates and policymakers.
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CNBC AI News, July 17
Original article, Author: Tobias. If you wish to reprint this article, please indicate the source:https://aicnbc.com/4987.html