Few-Shot Prompting

Few-shot prompting gives an AI model a small number of input-output examples right in the prompt. This lets the model pick up patterns and perform tasks it hasn't been specifically trained for.

Unlike zero-shot prompting (no examples) or one-shot (one example), few-shot uses 2-10 examples to boost performance on complex tasks like classification or summarization. For instance, models like GPT-3 or IBM Granite use this in-context learning to generalize from limited demos, saving time on data collection.

It makes AI adaptable without expensive retraining or massive datasets, speeding up development and cutting costs. Useful for quick tasks like sentiment analysis or code generation, it improves accuracy on new problems by leveraging the model's built-in knowledge.

Include 2-5 clear examples in your prompt before the actual task. Each example shows an input and the expected output, helping the AI mimic the pattern.

• Start with: "Here are examples:"
• Example 1: Input → Output
• Example 2: Input → Output
• Then: "Now do this: [your input]"

This works with chat interfaces or single prompts. For chatbots, "pre-bake" prior messages as examples before your query. Test with more shots for tougher tasks, but keep prompts concise to avoid overwhelming the model.

Prompt:
Classify incoming customer support emails by priority level: Urgent, High, Medium, or Low.

Email: "Our entire system went down 30 minutes ago and we're losing $5,000 per hour."
Priority: Urgent

Email: "I'd like to request a feature to export reports as PDFs."
Priority: Low

Email: "We can't access our account since yesterday and need it resolved by tomorrow for an important client meeting."
Priority: High

Email: "Is there a discount for annual subscriptions?"
Priority: Medium

Email: "The dashboard is completely unresponsive and we can't process any orders."
Priority: Expected AI Output:  Urgent

This approach helps your support team automatically route emails to the right department, ensuring critical issues reach the right people first and reducing response time—a direct business benefit.