Prompt Engineering Best Practices Guide

What is Prompt Engineering

Prompt Engineering is the technique of guiding large language models to produce high-quality output through carefully designed input prompts.

Core Techniques

1. Few-Shot Learning

Provide examples to help the model understand the task pattern:

Input: The weather is really nice today
Sentiment: Positive

Input: This product is terrible
Sentiment: Negative

Input: I'm very satisfied with this result
Sentiment: ?

2. Chain-of-Thought

Guide the model to reason step by step:

Let's think step by step:
1. First analyze the problem
2. List known conditions
3. Derive intermediate conclusions
4. Reach final answer

3. Role Prompting

Set a role for the model:

You are a senior Python engineer, please help me review this code...

Practical Recommendations

- Express requirements clearly and explicitly
- Provide sufficient context
- Use structured format
- Iteratively optimize prompts

Conclusion

Prompt Engineering is an art that requires continuous practice and summarization.