Prompt Engineering
Prompt Engineering
📖 Definition
Prompt Engineering is the technique of designing, refining, and optimizing instructions (Prompts) input to AI models to guide them to generate higher quality and more accurate outputs. It includes various strategies such as structured prompts and few-shot guidance.
🔗 How Higress Uses This
Higress supports prompt template enhancement at the gateway layer, uniformly injecting system-level constraints and reducing dependence on frontend prompt writing.
💡 Examples
- 1 Chain-of-Thought (CoT) prompting: guides the model to think step by step
- 2 Role-playing: makes AI play a specific expert role
- 3 Few-shot prompting: provides examples for the model to learn output format
🔄 Related Terms
❓ FAQ
What is Prompt Engineering?
Prompt Engineering is the technique of designing, refining, and optimizing instructions (Prompts) input to AI models to guide them to generate higher quality and more accurate outputs. It includes various strategies such as structured prompts and few-shot guidance.
How does Higress support Prompt Engineering?
Higress supports prompt template enhancement at the gateway layer, uniformly injecting system-level constraints and reducing dependence on frontend prompt writing.
Learn More About Higress
Explore more Higress features and best practices