<ul><li>Training large language models like GPT-3 requires significant computational resources, consuming over 1.25 billion watt-hours of energy.</li><li>Data storage for AI models can require petabytes of storage, consuming significant energy and power.</li><li>The network infrastructure and data transfer also contribute to the environmental impact of AI.</li><li>AI development efforts and office spaces contribute to the overall energy footprint.</li></ul>

Understanding the Resources Consumed by AI Models and Their Environmental Impact

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