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LLMs may ace synthetic benchmarks, but they fumble the efficiency test in real-world cloud service scenarios, revealing a critical gap in their readiness for customer-facing applications.
Achieve SOTA LLM alignment in complex technical domains with a fraction of the compute by distilling knowledge into smaller models using a hybrid reward mechanism and targeted data augmentation.
