Chapter C · 8 pages · ~96 min

Training vs inference

A practical deep dive into Training vs inference: mechanism, controls, tradeoffs, failures, evaluation, and an end-to-end decision trace.

What you will be able to do

  • Explain Training vs inference using an accurate input-to-output mental model
  • Choose controls for Training vs inference and predict their quality, latency, cost, and risk effects
  • Diagnose realistic Training vs inference failures and design proportionate safeguards
  • Evaluate Training vs inference against a baseline with task-specific and operational evidence

Lessons in this topic

  1. 01Build the mental model12m
  2. 02Understand the mechanism12m
  3. 03Learn the controls and knobs12m
  4. 04Weigh the tradeoffs12m
  5. 05Anticipate failure modes12m
  6. 06Evaluate with evidence12m
  7. 07Trace a worked example12m
  8. 08Mastery: connect the pieces12m