Few-shot prompting provides the AI with 2-5 examples of ideal output before asking it to generate new content. This is the most reliable way to get AI to match a specific style, format, or quality standard.
Show 2-5 examples of the exact output format you want
Keep examples consistent in style, length, and quality
After examples, provide the new input for AI to process in the same way
The AI pattern-matches against your examples for consistent output
Template
Example Output
Template
Example Output
Template
Example Output
3 examples is the sweet spot — enough to establish the pattern without overwhelming context
Make examples diverse enough to cover edge cases but consistent in quality
If output quality varies, add more examples of the specific pattern you want
Few-shot works better than long instructions for style, tone, and formatting tasks
Combine with role-playing: 'You are a tech journalist. Match this style: [examples]'
2-5 examples work best. One example is often enough for simple formatting tasks. 3 examples is ideal for style matching. More than 5 examples rarely improves output and wastes context window space. Focus on quality of examples over quantity.
Good examples are: representative (covering typical cases), consistent (same quality/format), diverse (showing range of topics), and high-quality (matching your ideal output). Bad examples with inconsistent quality will produce inconsistent output.
Use few-shot when you can't easily describe what you want but can show it (style, tone, creativity). Use detailed instructions when the rules are clear and logical (data processing, calculations). For best results, combine both: instructions + examples.
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