{"slug": "using-absorbing-markov-chains-over-a-768d-embedding-space-for-2ms-intent-triage", "title": "Using Absorbing Markov Chains over a 768D embedding space for <2ms intent triage", "summary": "A hybrid intent-triage method combining 65% cosine similarity with 35% absorbing Markov chain (AMC) scoring over a 768-dimensional embedding space resolved a test case in 1.9 ms where naive cosine similarity was fooled by keywords. The approach applies three sequential guards — a 0.0 ms negation and syntax check for phrases such as \"do not\" and \"instead of\", a manifold-proximity out-of-distribution test requiring a minimum distance d_min ≤ 0.22 to the nearest landmark, and an entropy and margin gate requiring entropy H ≤ 0.45 and margin Δ ≥ 0.25 — across 5 test cases.", "body_md": "1. Pick a Test Scenario\n5 Cases\n\n2. Triple-Guard Tripwires\n2.1 ms\n\nGuard 1: Negation & Syntax\nPASS\n\n          0.0 ms check for \"do not\", \"instead of\", binary yes/no\n        \n\nGuard 2: Manifold Proximity (OOD)\nPASS\n\n          Requires d_min ≤ 0.22 to nearest landmark\n        \n\nGuard 3: Entropy & Margin Gate\nPASS\n\n          Requires Entropy H ≤ 0.45 & Margin Δ ≥ 0.25\n        \n\n❌ Naive Cosine Similarity (Direct Line)\nFooled by keywords\n\n✅ Tier 0 Hybrid AMC (Maze Absorption)\n65% Cos + 35% AMC\n\nEXIT_0: LOCKED VERDICT\n1.9 ms", "url": "https://wpnews.pro/news/using-absorbing-markov-chains-over-a-768d-embedding-space-for-2ms-intent-triage", "canonical_source": "https://solvingsteve.github.io/Gevva0/Tier0-AMCs-Visualized.html", "published_at": "2026-10-16 16:32:34+00:00", "updated_at": "2026-10-16 16:46:56.574317+00:00", "lang": "en", "topics": ["natural-language-processing", "machine-learning", "artificial-intelligence"], "entities": [], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/using-absorbing-markov-chains-over-a-768d-embedding-space-for-2ms-intent-triage", "markdown": "https://wpnews.pro/news/using-absorbing-markov-chains-over-a-768d-embedding-space-for-2ms-intent-triage.md", "text": "https://wpnews.pro/news/using-absorbing-markov-chains-over-a-768d-embedding-space-for-2ms-intent-triage.txt", "jsonld": "https://wpnews.pro/news/using-absorbing-markov-chains-over-a-768d-embedding-space-for-2ms-intent-triage.jsonld"}}