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Simplify Information Extraction: A Reusable Prompt Template for GPT Models

A prompt template containing prompting techniques that have worked for me on over a dozen nuanced medical information extraction tasks

Christabelle Pabalan
Towards Data Science
8 min readAug 16, 2024

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Introduction

If I told you that I created the ultimate prompt template for information extraction tasks that will guarantee you’ll get the exact desired performance with incredible recall and precision and guaranteed output formatting every time, you’d probably scoff.

And rightfully so — because nobody can guarantee these checkboxes with the unpredictable nature of LLMs. -*melting face emoji*-

However, this is what I can say: after extensive work on over a dozen nuanced medical information extraction tasks — each requiring deep domain expertise — I’ve developed a prompt template that utilizes the prompting techniques that have worked for me to significantly boost performance and minimize erroneous outputs. This template has helped me streamline my workflow, reduce iteration cycles, and bring a reliable level of consistency to my results.

In this article, I’ll walk through this template, explain the rationale behind each section, and share the lessons I’ve learned along the way. My hope is…

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Towards Data Science

Published in Towards Data Science

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Christabelle Pabalan

Written by Christabelle Pabalan

Taking care of my hippocampus by solidifying ideas into articles. Content related to cognitive science, data ethics, self-improvement, and machine learning.

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I’ve developed a prompt template that utilizes the prompting techniques that have worked for me to significantly boost performance and minimize erroneous outputs.