AWS Certified Cloud Practitioner

Explanation

Few-shot Prompting is the correct answer because the developer is providing two example inputs and outputs before the main query.

Key Concepts:

1. Few-shot Prompting:

   • Involves providing a small number of examples (typically 2-5) to demonstrate the desired task

   • Helps the model understand the pattern or format expected

   • The examples serve as a "demonstration" of how to process similar inputs

2. Zero-shot Prompting:

   • Would involve asking the model to perform the task without any examples

   • The model relies solely on its pre-trained knowledge

3. Negative Prompting:

   • Typically refers to specifying what NOT to include in the output

   • Common in image generation models

4. Guided Prompting:

   • Not a standard term in prompt engineering

   • May refer to providing step-by-step instructions

Why B is Correct:

The question explicitly states "They provide two example inputs and outputs before the main query," which is the definition of few-shot prompting. The examples help the model understand the classification task (positive vs. negative reviews) by showing it how similar inputs should be processed.

Real-world Application:

In AWS services like Amazon Bedrock or SageMaker, few-shot prompting is commonly used when working with foundation models to improve accuracy on specific tasks without full fine-tuning.