Why naive cosine routing fails: absorbing Markov chains over a 768D embedding space for <2ms zero-token intent triage
Read original on r/LocalLLaMA ↗What you're looking at: When routing support tickets, agent tool calls, or classification queries, direct cosine similarity (cos(q, option)) gets easily baited by surface keywords. Example alert says: "Checkout...
Original headline: "Why naive cosine routing fails: Using Absorbing Markov Chains over a 768D embedding space for <2ms zero-token intent triage (before waking the LLM)"