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Quanta GenAI Curriculum · LLMOps · Advanced

LLMOps Advanced — 029: chart token burn on `Adapter vs prompt calculus` — memo `611848 [29]`

Lesson 029: Adapter vs prompt calculus

Focus

Bias toward observable metrics: latency, cost, escalation rate. Token Adapter vs prompt calculus:29 keeps neighbouring lessons differentiable.

Key ideas

Deep dive notebook

Synthetic drill artefacts

Prompt scaffold

ROLE: LLMOps analyst cohort 29
INPUTS:
- excerpts tagged [chunk_id ...]
- policy_bundle_8
TASK:
  1) Summarize deltas with citations
  2) Confidence LOW|MED|HIGH + evidence
  3) If facts missing emit MISSING_FACTS
USER_SEED >>> What changed between rollout 33 and 46?

Practice

Practice Attach rollback steps if cost-per-request crosses your guardrail. — 29 Bump 25.