Table of Contents
Overview #
- The goal of prompt engineering techniques is to create effective prompts to guide LLMs and produce relevant, useful results from these models.
- Large Language Models (LLMs) are machine learning tools that can process and generate human-like text and content based on training from vast amounts of data. Examples include ChatGPT, Claude, Gemini, and PaLM.
- No coding experience is required to learn and apply prompting techniques.
- Different LLMs respond differently to prompts. There is not a “one size fits all” solution, so experimentation is key to finding the ideal approach for your use cases.
- Learning prompting can significantly enhance research efficiency by producing more accurate, high-quality results.
Basic Resources #
- Prompt Engineering: Overview and Guide
- Getting started with prompts for text-based Generative AI tools
- AI Prompting Best Practices
- The Art and Science of Crafting Prompts
