AI EngineeringInterview preparation
Advanced·Concept·2 min read

Do I need an LLM?

Practice this question
  • Use an LLM for language transformation, interpretation, synthesis, and bounded proposals.
  • A dedicated classifier, OCR engine, search index, or template may solve the narrower task better.
  • Define acceptable uncertainty and what happens when the model cannot answer.

Example: A deterministic template explains in_review; an LLM may help turn a complex supplied narrative into a draft summary. Different routes can coexist in the same UI.

Adapted from 13_AI.MD · “2. Do I need an LLM?”. Code examples are study fragments. Difficulty and core labels are editorial estimates; version-specific behavior should be checked against your project.