Table of Contents
Advanced Prompt Engineering: Beyond the Basics
You know "be specific" and "give examples." Here's what comes next.
The Prompt Engineering Hierarchy
- Clear instructions
- Structured formatting
- Few-shot examples
- Chain-of-thought reasoning
- Systematic optimization
Most stop at Level 2. The gains are in 3-5.
Chain-of-Thought Prompting
Instead of asking for the answer, ask for the reasoning.
Without CoT:
"What's 23 × 17?" → "391" (sometimes wrong)
With CoT:
"What's 23 × 17? Think through this step by step." → Shows work, correct answer
Few-Shot Prompting
Show examples of desired input-output pairs:
code
Input: [example 1 input]
Output: [example 1 output]
Input: [your actual input]
Output:
3-5 diverse, consistent examples are optimal.
Self-Consistency
Generate multiple responses, take the majority answer. Higher cost but higher accuracy.
Systematic Optimization
- Baseline: Establish current performance
- Hypothesis: What change might improve?
- Test: Run both versions
- Measure: Compare metrics
- Iterate: Keep winner, form new hypothesis
Advanced Techniques
- Role Priming: "You are an expert [domain]..."
- Output Scaffolding: Provide structure, LLM fills it
- Negative Prompting: "Do not include..."
- Prompt Chaining: Break complex tasks into steps
Prompt engineering is engineering. Apply the rigor.