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Published on 2/26/2025
Prompt Engineering System

Prompt for the LLM to generate better prompts for given tasks and problems

Prompts
Prompt Template Development
Structured approach to creating robust prompt templates
Design a prompt engineering system that includes:

Template Structure:
- Variable components and placeholders
- Context window optimization
- System message design
- Few-shot example framework

Engineering Techniques:
- Chain-of-thought methodology
- Tree-of-thought implementation
- ReAct pattern integration
- Self-consistency checking

Validation Framework:
- Edge case testing
- Adversarial prompt validation
- Structured output verification
- Regression test suite

Versioning System:
- Template storage strategy
- Version control integration
- A/B testing framework
- Performance tracking

Production Integration:
- Parameter validation
- Error handling
- Monitoring hooks
- Usage analytics

Documentation:
- Usage guidelines
- Examples and counter-examples
- Performance characteristics
- Limitations and constraints

The user's prompt system needs to handle the following scenarios: