Answer: Zero-shot Prompting

## Explanation This is **Zero-shot Prompting** because: 1. **No examples provided**: The student asks the generative AI model to explain cloud computing without providing any example responses or context beforehand. 2. **Direct instruction**: The model is expected to generate a response based solely on the instruction without any demonstration of what a good response should look like. 3. **Comparison with other prompting techniques**: - **Few-shot Prompting**: Would involve providing several examples of similar questions and answers before asking the target question. - **Chain-of-Thought Prompting**: Would involve asking the model to show its reasoning step-by-step before providing the final answer. - **Contextual Prompting**: Would involve providing additional context or background information to guide the response. 4. **Zero-shot learning capability**: This demonstrates the model's ability to understand and respond to tasks it hasn't been explicitly trained on with examples. Zero-shot prompting is particularly useful when you want the model to perform a task without providing specific examples, relying instead on the model's pre-trained knowledge and understanding of language patterns.

Author: Jin H