SEALing the Gap: A Reference Framework for LLM Inference Carbon Estimation via Multi-Benchmark Driven Embodiment

Researchers have developed SEAL, a reference framework for measuring carbon emissions from Large Language Model inference at the prompt level. The framework addresses the growing sustainability concerns as LLM inference emissions are rapidly surpassing training emissions due to massive usage volumes.