LLMRouter from UIUC's U Lab tackles something we'll see more of as model options multiply: intelligent routing that picks the right LLM for each query based on complexity, quality needs, and cost. Open source too, which makes it actually useful for teams trying to optimize inference spend without sacrificing output quality.
LLMRouter from UIUC's U Lab tackles something we'll see more of as model options multiply: intelligent routing that picks the right LLM for each query based on complexity, quality needs, and cost. 🎯 Open source too, which makes it actually useful for teams trying to optimize inference spend without sacrificing output quality.
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Meet LLMRouter: An Intelligent Routing System designed to Optimize LLM Inference by Dynamically Selecting the most Suitable Model for Each Query
LLMRouter is an open source routing library from the U Lab at the University of Illinois Urbana Champaign that treats model selection as a first class system problem. It sits between applications and a pool of LLMs and chooses a model for each query based on task complexity, quality targets, and cost, all exposed through […] The post Meet LLMRouter: An Intelligent Routing System designed to Optimize LLM Inference by Dynamically Selecting the most Suitable Model for Each Query appeared fir
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