Advanced Prompt Engineering: Beyond the Basics

You know "be specific" and "give examples." Here's what comes next.

The Prompt Engineering Hierarchy

1. Clear instructions
2. Structured formatting
3. Few-shot examples
4. Chain-of-thought reasoning
5. 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:

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

1. Baseline: Establish current performance
2. Hypothesis: What change might improve?
3. Test: Run both versions
4. Measure: Compare metrics
5. 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.

Apply Advanced Prompting →