CarbonScaling: Extending Neural Scaling Laws for Carbon Footprint in Large Language Models
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In three linesCarbonScaling is a hardware-aware analytical framework modeling carbon footprint of frontier LLM training. It integrates neural scaling laws, distributed training strategies, accelerator modeling, and operational/embodied carbon accounting. Source code released on GitHub.Read source
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