Explore Advanced AI Prompting Techniques
58 methods to transform your interactions with generative models
Hi!
I have exciting news to share with you! Back in June 2024, a fascinating paper was released that aims to strengthen our understanding and use of generative artificial intelligence. This document, titled "The Prompt Report: A Systematic Survey of Prompting Techniques", details 58 text prompting techniques, grouped into categories, that I can't wait to explore and apply!
What is prompting?
Before diving into the details, let's clarify what prompting is. In simple terms, it's the technique we use to give instructions to an AI model, like ChatGPT, to generate content or responses. The art of prompting can determine the precision and relevance of the answers we get. This is crucial for those of us who are starting to integrate generative AI into our daily activities and businesses.
What will you find in the document?
The document, which is a fascinating technical and academic read, provides a structured framework for understanding prompting techniques. Here's a brief description of what it covers:
Understanding prompts: Defines what a prompt is and its key components, such as directives, examples, output formats, and style instructions.
Taxonomy of prompting techniques: Classifies and describes in detail 58 text prompting techniques. These techniques are divided into various categories, each with its own applications and benefits.
Text-based techniques: From In-Context Learning to Chain-of-Thought generation, including self-criticism and problem decomposition techniques.
Multimodal and multilingual: Explores techniques that go beyond text, including prompts for images, audio, and video, as well as techniques for working in multiple languages.
Prompt engineering and evaluation: Provides methods for designing, evaluating, and improving prompts to obtain more precise and useful results.
My plans and what's next
Right now, I'm testing some of these techniques and understanding how they can be effectively applied in different contexts. I plan to break down and digest this information to share it with you in a series of posts. My goal is to make these complex techniques accessible and useful for everyone.
I want to explore each category and provide practical examples of how they can improve our interactions with generative AI. Plus, I'll share my experiences and results with these techniques, so you can see firsthand how they affect the quality of responses generated by AI models.
A preview of what's coming
In upcoming posts, I'll cover topics like:
In-Context Learning: How to provide examples within a prompt to improve AI's understanding and response generation.
Self-criticism and verification techniques: Methods for AI to evaluate and improve its own responses.
Problem decomposition: Strategies for breaking down complex problems into more manageable parts, thus improving response accuracy.
My goal is for us to learn together and equip you with the tools and knowledge needed to maximize AI's potential in your work and daily life.
Conclusion
I've loved reading and rereading this paper, and I'm excited to share this information with you. Prompting techniques have the potential to transform our interactions with AI, making them more precise, useful, and adapted to our specific needs.
Don't miss the upcoming posts where I'll dive deep into each of these techniques and how you can apply them in your daily life! If you're interested in reading the complete document, you can find it here.
See you soon!
Germán.
Hey! I'm Germán, and I write about AI in both English and Spanish. This article was first published in Spanish in my newsletter AprendiendoIA, and I've adapted it for my English-speaking friends at My AI Journey. My mission is simple: helping you understand and leverage AI, regardless of your technical background or preferred language. See you in the next one!