Discussing the energy usage trends of AI systems can be misleading without considering the substitutional effects of the technology. Many digital technologies help decarbonize the economy by substituting moving bits for moving atoms.
The amount of power used to training an LLM is dwarfed by what's consumed by deploying it - a process called inferencing - at scale.
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