Overview
Prompt engineering is the practice of designing inputs to AI systems that maximise the quality, accuracy, and relevance of outputs. For professional applications in law, tax, and medicine, prompt engineering is essential for extracting reliable, authoritative information from AI systems.
Core Principles
- •Specificity — precise instructions produce precise outputs
- •Context setting — providing domain context improves relevance
- •Structured output requests — requesting specific formats ensures usability
- •Chain-of-thought — asking for reasoning improves accuracy
- •Iterative refinement — building on initial outputs improves quality