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Embedding Geometry Shapes LLM Routing: Tracing Failure Modes and Improving Generalization
With the growing number of LLMs available, selecting which one to use for a prompt has become a key question. A large part of the routing literature relies on semantically embedding prompts into a vector space and then applying a lightweight classifier to the embedded representations. These methods
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