Meta Prompting
The highest level of prompt engineering is getting the AI to write prompts for itself. Meta‑prompting (or meta‑prompt engineering) asks a language model to generate, evaluate, or improve prompts for a given task.
Meta‑prompting = "Write a prompt that…" – use an LLM to create prompts for another LLM.
Example: Generate a Prompt for Summarization
Prompt to meta‑LLM: "Write a prompt that asks the model to summarize a news article in 2 bullet points. The prompt should be clear and include an example."
Meta‑LLM output: "Summarize the following news article in exactly 2 bullet points. Each bullet point should be a complete sentence. Example: Article: 'The company announced record profits.' → • The company reported record profits. • This exceeded analyst expectations. Now summarize this article: [article text]"Why Use Meta‑Prompting?
- Automates prompt design for repetitive tasks.
- Discovers prompt phrasings you might not think of.
- Can be combined with APE (Automatic Prompt Engineering) to iteratively improve.
Simple Meta‑Prompt Template
"You are an expert prompt engineer. Write a prompt that will make a language model
Caution
Meta‑prompting works best with strong models (GPT‑4, Claude, etc.). The generated prompt may not be perfect, so you should test it and iterate.
Two Minute Drill
- Meta‑prompting uses an LLM to write prompts for another LLM.
- Automates prompt creation for routine tasks.
- Can discover effective phrasing automatically.
- Always test the generated prompt before production.
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