Table of Contents
Prompt engineering is closer to structured technical writing than to "magic incantations". This article outlines a lightweight framework you can use across LLMs.
The Framework
Define the task, provide reference material, constrain the output format, and give at least one worked example. Then evaluate against a rubric.
Evaluating Prompts
A prompt is only as good as the criteria you evaluate its output against. Use held-out cases and blind ratings whenever possible.
Frequently Asked Questions
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View Team ProfileReferences & Sources
We link only to official websites, government portals, research papers, official documentation, academic publications, industry reports and vendor documentation.
- Language Models are Few-Shot Learners (GPT-3 paper) — arXiv · Research Paper
- Chain-of-Thought Prompting Elicits Reasoning — arXiv · Research Paper
- OpenAI — Prompt Engineering Guide — OpenAI · Official Documentation
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