Member-only story

How I Won Singapore’s GPT-4 Prompt Engineering Competition

A deep dive into the strategies I learned for harnessing the power of Large Language Models (LLMs)

Sheila Teo
TDS Archive
23 min readDec 29, 2023

--

Celebrating a milestone — The real win was the priceless learning experience!

Last month, I had the incredible honor of winning Singapore’s first ever GPT-4 Prompt Engineering competition, which brought together over 400 prompt-ly brilliant participants, organised by the Government Technology Agency of Singapore (GovTech).

Prompt engineering is a discipline that blends both art and science — it is as much technical understanding as it is of creativity and strategic thinking. This is a compilation of the prompt engineering strategies I learned along the way, that push any LLM to do exactly what you need and more!

Author’s Note:
In writing this, I sought to steer away from the traditional prompt engineering techniques that have already been extensively discussed and documented online. Instead, my aim is to bring fresh insights that I learned through experimentation, and a different, personal take in understanding and approaching certain techniques. I hope you’ll enjoy reading this piece!

This article covers the following, with 🔵 referring to beginner-friendly prompting techniques while 🔴 refers to advanced strategies:

--

--

TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Responses (138)