What is Prompt Engineering - Meaning, Working, Techniques

Rusty Snippets · Wednesday at 7:13 AM

If you are using AI in any form, you have to learn how to "prompt" the AI to narrow down its answers.

Prompt engineering is the process of creating clear and effective prompts that guide AI models to generate accurate responses. It mainly focuses on writing smart prompts for text-based AI tasks, especially NLP, to help the user and the model produce the required output.

Prompt Engineering Importance

More specific formats of input as prompts help in better interpretability of the requirements for a task.
Specific prompts with a detailed explanation of the requirements mean output matches more with the desired one.
Better results for NLP tasks, through prompts also mean a better-trained model for future tasks.

What are Prompts?

Prompts are short pieces of text that are used to provide context and guidance to machine learning models. When talking about the specific text AI tasks, also called NLP tasks, these prompts are useful in generating relevant outputs which are as close to the expected output itself. Precisely, these prompts help in generating accurate responses by:

Adding on some additional guidance for the model.
Not generalizing a prompt too much.
Make sure the information added is not too much as that can confuse the model.
Making the user intent and purpose clear for the model to generate content in the relevant context only.