In recent years, AI has become a hot topic ranging from ChatGPT that helps answer questions, to AI that can edit photos, create videos, or even assist doctors in diagnosing diseases. However, behind this intelligence lies a heavy cost. Developing AI, especially large-scale models, requires massive computing power. According to a report from Knowledge at Wharton , training GPT 3 consumed around 1,287 megawatt hours (MWh) of energy and emitted about 502 tons of CO2 , equivalent to the yearly
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