Kentucky AI Shelbyville · Kentucky
← Read The Turbo Framework
Visual field map · educational

The Turbo Framework, drawn

Ten frames on the closed-loop architecture — the exhaust manifold, the verifier valve, the wastegate, and the twin-scroll turbine — drawn against a real Division 9 finish plan.

Kentucky AI · companion to The Turbo Framework

  1. Slide 1 of 10. The Turbo Framework: operational exhaust as a primary supervisory signal — a turbine glyph over the title.
    01The Turbo Framework — operational exhaust as a primary supervisory signal.
  2. Slide 2 of 10. The instinct is backward: most teams pick a base, buy clean data, and train first; the Turbo Framework captures exhaust, verifies, selects, and trains last.
    02Don't buy fuel, burn your exhaust — the power is in the data you already produce and discard.
  3. Slide 3 of 10. The closed loop: daily work and real closeouts feed the exhaust manifold and verifier valve, into the wastegate filter, into the twin-scroll turbine, out to LoRA.
    03One system, four parts — daily work and closeouts feed the manifold, the valve, the wastegate, and the turbine.
  4. Slide 4 of 10. The exhaust manifold: every signed-off takeoff is a labeled example, the human-grounded anchor; D-anchor is a subset of D-total.
    04① The exhaust manifold — every signed-off takeoff is the human-grounded anchor against model collapse.
  5. Slide 5 of 10. The verifier valve: the as-built closeout, estimated versus installed, is an executable reward and the evaluation set, built before the model.
    05② The verifier valve — the as-built closeout is an executable reward and the eval set, built first.
  6. Slide 6 of 10. The wastegate: score candidate traces early and discard the low-value ones, cutting compute by close to an order of magnitude.
    06③ The wastegate — score candidates early, discard the rest, cut compute by close to an order of magnitude.
  7. Slide 7 of 10. The twin-scroll turbine: on-policy distillation with a mode-seeking reverse-KL objective — a smeared forward-KL curve beside a single sharp reverse-KL peak.
    07④ The twin-scroll turbine — on-policy distillation with a mode-seeking reverse-KL objective.
  8. Slide 8 of 10. One core, many adapters: a frozen core W with swappable low-rank LoRA adapters per vertical, W prime equals W plus B times A.
    08One core, many adapters — a frozen core plus small low-rank LoRA adapters per vertical.
  9. Slide 9 of 10. The loop closes on reality: canvas to corpus to tuned model and back, corrected by the as-built closeout — the eval set nobody else has.
    09The loop closes on reality — every closeout feeds back to correct the model. The eval set nobody else has.
  10. Slide 10 of 10. Kentucky AI sign-off: the chop seal and wordmark — we ship weights, not decks. Capture first, verify next, train last.
    10Kentucky AI — we ship weights, not decks. Capture first, verify next, train last.
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