Conflict-Free Policy Languages for Probabilistic ML Predicates: A Framework and Case Study with the Semantic Router DSL
Conflict-Free Policy Languages for Probabilistic ML Predicates: A Framework and Case Study with the Semantic Router DSL explores A new framework for conflict-free policy languages in probabilistic ML systems, specifically for LLM inference routing, preventing silent routing errors.. Commercial viability score: 5/10 in LLM Inference.
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