Just Intonation Calibration

Calibrate generation parameters as just-intonation ratios by task type (factual, creative, code) instead of one global temperature. Use when the same model is too loose on facts or too stiff on drafts. Scope boundary — prompt wording itself → `prompt-optimizer`; compute budget class → `emergency-triage-compute`.

CatCorner22 Updated

File contents

Just intonation parameter calibration

#31 · Domain: Music theory (tuning) · Category: extension · Difficulty: 🟡 Medium

Core principle

Simple-integer frequency ratios stay consonant; arbitrary detune beats.

AI problem addressed

One temperature/top-p for every task type produces mush or rigidity.

Implementation

| Task | Temp | top_p | Cap | | Factual | 0.3 | 0.85 | short | | Code | 0.2 | 0.9 | medium | | Creative | 0.8 | 0.95 | long | Set the ratio table before generate; do not retune mid-sentence.

Boundaries

  • Prototype as prompt scaffold (🟢) before full pipeline middleware (🟡/🔴)
  • Category router: ai-transfer-extension
  • Catalog: ai-transfer-ecosystem-primer
  • Runtime plugin id: just_intonation

CatCorner22/Cursor_Skills/tree/main/skills/ai-transfer/just-intonation-calibration commit 0f87929292

Frequently asked questions

npx skillmds@latest add catcorner22/just-intonation-calibration