Prompt engineering is crucial for developing effective LLM-native applications. The post provides eight practical tips to enhance prompting techniques, such as defining clear cognitive boundaries, specifying input/output, implementing guardrails, and leveraging structured data formats like YAML. Emphasizing the importance of breaking down tasks into smaller steps, reusing models for consistency, and continuous iteration, these tips aim to improve application performance and reliability. Practical examples using a 'Landing Page Generator' scenario illustrate these concepts effectively.
Table of contents
1. Define Clear Cognitive Process Boundaries2. Specify Input/Output Clearly3. Implement Guardrails4. Align with Human Cognitive Processes5. Leverage Structured Data (YAML)6. Craft Your Contextual Data6.1 Harness the power of few-shot learning7. KISS — Keep It Simple, Stupid8. Iterate, Iterate, Iterate!Sort: