Few-shot prompting provides the AI with a small set of examples to guide its response. This method helps the AI understand the context and desired format better, improving its ability to generate relevant and accurate answers.
Example 1:
Question: How long should we keep financial records?
Answer: Businesses should keep financial records for at least seven years.
Example 2:
Question: What is the best way to improve team productivity?
Answer: Implementing effective time management strategies and regular team meetings can significantly improve productivity.
Question: What are some effective strategies for customer retention?
Answer: Effective strategies for customer retention include providing exceptional customer service, offering loyalty programs, and regularly seeking customer feedback for continuous improvement.
In few-shot prompting, the AI uses the provided examples to gauge the structure and depth of the desired response. By seeing how similar questions are answered, it can more accurately address the new query about customer retention. The examples serve as a template, guiding the AI in crafting a response that aligns with the user's expectations in both style and substance.
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