LoRA modules function as composable knowledge memories for LLMs with measurable storage capacity, internalization efficiency, and advantages in multi-module long-context reasoning.
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Profile Drift Detection measures changes in partial dependence profiles with new metrics to detect concept drift while providing explanations and supporting efficient MLOps monitoring.
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Understanding LoRA as Knowledge Memory: An Empirical Analysis
LoRA modules function as composable knowledge memories for LLMs with measurable storage capacity, internalization efficiency, and advantages in multi-module long-context reasoning.
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From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection
Profile Drift Detection measures changes in partial dependence profiles with new metrics to detect concept drift while providing explanations and supporting efficient MLOps monitoring.