AI Glossary
Few-Shot Prompting
Understanding AI Terminology
Providing a few examples in your prompt to guide AI behavior.
What It Means
Few-shot prompting is a technique where you include several examples of the desired input-output pattern in your prompt. The model learns the pattern from these examples and applies it to new inputs. This is a form of in-context learning that can significantly improve results for specific tasks, formatting requirements, or unusual requests without requiring model fine-tuning.
Examples
- Showing 3 examples of customer email classifications
- Providing sample Q&A pairs before asking your question
- Demonstrating the exact output format you want
How This Applies to ARKA-AI
You can use few-shot prompting in ARKA-AI by including examples in your messages. ARKAbrain handles these longer prompts effectively.
Frequently Asked Questions
Common questions about Few-Shot Prompting
Typically 2-5 examples work well. More examples help with complex patterns but use more tokens. Start with 3 examples and adjust based on results.
Yes, examples use tokens from your context window. For very long examples, consider whether fine-tuning might be more efficient.
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