Module 3: Applications of Prompt Engineering

Overview

In this module, we will explore how prompt engineering can help us perform real-world tasks using language models. You will see how the same model can be used for many different applications just by changing the prompt.

We’ll cover:

• Text Summarization
• Text Classification (like Sentiment Analysis)
• Question Answering (QA)
• Translation
• Grammar Correction

Each section has: - a simple explanation - a good prompt example - and a code example using Hugging Face’s GPT-2 pipeline.

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1. Text Summarization

Goal: Reduce a long paragraph into a short and simple summary.

Prompt Example

Summarize this paragraph in one line: “Artificial Intelligence is used in many fields such as healthcare, finance, and education to automate processes and improve efficiency.”