The Art and Science of Prompt Engineering: A Comprehensive Guide

GenAI Series Part2: Beyond Basic Queries: Advanced Methods to Unlock AI's Full Potential

I have been pretty skeptical of Prompt engineering as a discipline. In one of my last posts called “Prompt Engineering: Why Your Tech Career Shouldn't Rest on Vibes and Creative Writing” you could have seen my bias towards prompt engineering as a discipline and my disregard of people who call themselves “Prompt Engineers”. But that is not to say that not learning about it is an option for ML engineers. In the words of some political commentators, “Two things can be true at once”. And in case of Prompt engineering, it is — that this is a valuable skill, and we don’t need a separate job role called prompt engineers. So, this is where we are with Prompt engineering. I think about prompt engineering as veering somewhere between a science and an art form, something that can make or break your model outputs and something that you should know about if you want to put these large language models into production.

In this post, I will talk about prompt engineering, best practices, the various t…