Prompt Engineering
Definition
Prompt engineering is the practice of designing and refining text inputs to get optimal outputs from AI models. It encompasses techniques like few-shot examples, chain-of-thought reasoning, and system prompts that shape model behavior. Effective prompt engineering can dramatically improve output quality without any model training or fine-tuning.
How It Works
The practitioner crafts structured instructions that leverage the model's training patterns, using techniques like role assignment, step-by-step reasoning chains, and output format specifications. Advanced methods include tree-of-thought prompting for complex reasoning, retrieval-augmented prompting for factual accuracy, and constitutional AI prompting for safety. The field is evolving toward automated prompt optimization using AI to refine prompts programmatically.