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LLMs, when combined with efficient indexing, can extract actionable incidents from just a handful of noisy user descriptions in real-time, enabling rapid anomaly detection in large-scale cloud services.
Hybrid Policy Distillation achieves superior performance by harmonizing the strengths of forward and reverse KL divergence, transforming the landscape of knowledge distillation for LLMs.
