AI for All

14 Powerful Prompt Engineering Techniques You Need to Try

Because with the right prompt, there’s no limit to what AI can do

Abhay Parashar

Published in

The Pythoneers

7 min readFeb 22, 2025

Deepseek has once again sent shockwaves across the world… It feels like we’re back in the early days of ChatGPT, where even non-tech savvy folks are discussing AI and LLMs, despite not knowing a neuron from a node, all while trying to leverage them to their advantage.

One crucial aspect of using any AI model is the prompt — better prompts yield more accurate results. While numerous courses, certificates, and lengthy articles on crafting effective prompts exist, who really has the time to sit through a 100-hour course? If you agree, then this blog is for you.

In this blog, I’ll unveil 14 Mind-Blowing Prompt Engineering Techniques and guide you on when to use them. One thing is certain: after reading this, your interactions with ChatGPT, Grok, Copilot, Claude, or any other AI tool will never be the same — you’ll realize just how powerful they truly are.

But before diving in, let’s first grasp the basics of Prompt Engineering.

Prompt Engineering

Prompt engineering is like giving instructions to a genie that’s incredibly smart but takes everything you say…

Interesting overview about the the variety of different prompt techniques.

This is also a nice way to implement Tree-of-Thought. I only know the way that you will generate different versions of the same prompt and then a other model evaluate which one is the best.