Does adding examples really change the model output?

Category: LLM & Prompt Engineering

Answer

Yes, dramatically. Few-shot examples set the format, style, reasoning type, and edge-case handling. Zero-shot works for stable patterns; few-shot wins for in-context patterns the model hasn’t seen. Three high-quality examples beat twenty mediocre ones.

Concrete examples from the fca project context

Example 1

0-shot: “Classify sentiment.” -> “Positive”. Often wrong on edge cases.

Example 2

3-shot: 3 labeled examples -> “Positive” with the model’s pattern from your examples.

Example 3

Few-shot also locks the FORMAT: “Reasoning + Answer in JSON” beats prose for downstream parsing.

Data flow / flow chart

0-shot:"Classify" -> free answer
3-shot: Q1->A1 Q2->A2 Q3->A3 -> locked pattern

Takeaway

Few-shot sets the implicit contract. Three strong examples beat twenty weak ones.