Few-Shot Learning

Teach AI by example for consistent outputs.

Few-shot prompting means giving the model one or more input→output examples before your real request. It learns the pattern and follows it.

Format

Show 1–3 examples in the same format you want, then ask for the new case. Example:

Convert to title case:

Input: the quick brown fox
Output: The Quick Brown Fox

Input: hello world
Output: Hello World

Input: prompt engineering guide
Output:

The model will complete with “Prompt Engineering Guide.”

When to use it

• Structured output (JSON, tables, specific phrasing)
• Consistent tone or style (e.g. support replies, product names)
• Classification or labeling with your categories
• Translation or reformatting with strict rules

Tips

• Use 2–3 diverse examples when possible.
• Keep examples clear and short so the pattern is obvious.
• If the model drifts, add another example or tighten the instruction.