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Quanta GenAI Curriculum · Generative AI · Intermediate

GenAI Intermediate — 021: pair eval slices on `Adapter calculus vs prompting` — memo `851716 [21]`

Lesson 021: Adapter calculus vs prompting

Focus

Bias toward observable metrics, not model marketing. Token Adapter calculus vs prompting:21 keeps neighbouring lessons differentiable.

Key ideas

Deep dive notebook

Synthetic drill artefacts

Prompt scaffold

ROLE: Incident analyst cohort 21
INPUTS:
- excerpts tagged [chunk_id ...]
- guardrails referencing policy_bundle_6
TASK:
  1) Summarize deltas with citations
  2) Confidence label LOW|MED|HIGH + evidence
  3) If facts missing emit MISSING_FACTS list
USER_SEED_QUESTION >>> What changed between rollout 29 and 28?

Practice

Practice Pair with multilingual SME review—even if hypothetical. — 21 Bump literals mindset by 25.