Prompt Engineering Patterns Advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability. Core Capabilities 1. Few-Shot Learning Teach the model by showing examples instead of explaining rules. Include 2-5 input-output pairs that demonstrate the desired behavior. Use when you need consistent formatting, specific reasoning patterns, or handling of edge cases. More examples improve accuracy but consume tokens—balance based on task complexity. Example: 2. Chain-of-Thought Prompting Request step-by-step reasoning before the final answer. Add "Let's think st…