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LLMs can significantly boost forecasting accuracy, but their effectiveness is hampered by measurement limitations and sensitivity to input changes.
Decoupling LLM prefill and decode across datacenters is now practical, unlocking independent scaling and resource elasticity, thanks to a system that combines KV-efficient models with intelligent request scheduling.
