Embedding Geometry Shapes LLM Routing: Tracing Failure Modes and Improving Generalization
arXiv:2610.19198v1 Announce Type: new Abstract: 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
Der Artikeltext wird beim nächsten Sync nachgeladen. Original bei arXiv cs.AI lesen
Quelle: arXiv cs.AI (arXiv cs.AI). Original öffnen