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Prompt Engineering (for Everyday Tasks) Doesn’t Have to Be So Complicated

Thuwarakesh Murallie
AI Advances
Published in
7 min read6 days ago

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Photo by Tingey Injury Law Firm on Unsplash

I recently read an article that says newer models have only a slight performance gap between them, but our ability to communicate with them is drastic.

Prompt Engineering is the language of Gen AI. Yet, we pay little attention to it because GenAI models throw back something for anything we throw in there.

We assume it’s the model’s best, but it’s not.

I wasn’t a good prompter myself. Hence, my ability to use AI for my benefit was minimal. At times, I was too lazy to type in a decent prompt or in a hurry to get the answer soon. Both times, I get superficial answers and need to spend more time on them to make them usable.

But in reality, effective prompting isn’t too hard either.

I often get high-quality responses by ensuring my prompt has only four essential elements. However, there are also advanced techniques. These advanced techniques are primarily for developers who create apps with LLMs.

This post covers the essential elements of every prompt. In the next post, I’ll cover and discuss advanced techniques, such as chains of thoughts and trees of…

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Written by Thuwarakesh Murallie

Data Science Journalist & Independent Consultant