Lesson 1458 of 1596
Few-Shot Example Curation: Quality, Rotation, and Counter-Examples, Part 2
Negative examples sharpen behavior more than positive ones alone.
Creators · Prompting · ~24 min read
The premise
A good example tells the model where to aim; a bad example tells it where the cliff is. Pair them.
What AI does well here
- Match the style of provided good examples.
- Avoid patterns explicitly marked as bad.
What AI cannot do
- Generalize from a single example reliably.
- Infer the rule when good and bad look identical.
Key terms in this lesson
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
- 1Ask AI to explain negative examples in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "Few-Shot Example Curation: Quality, Rotation, and Counter-Examples, Part 2" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check few-shot against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
10 questions · Score saves to your progress.
Tutor
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