Master the AI with Prompt Engineering

The Art of Prompt Engineering in Generative AI 🤖

Generative artificial intelligence is designed to generate results based on the quality of the prompt it receives.

But first of all, what is a prompt? 🤔

The prompt is the instruction or question that we would give to the artificial intelligence model.

This is where Prompt Engineering comes in. 🛠️

Making a good prompt is super important for the AI model to understand and respond effectively.

Think that artificial intelligence has a very large amount of information; the better and more accurate the prompt, the more accurate the quality of the response will be.

Therefore, prompt engineering is key to making the most of the fundamental models that drive generative artificial intelligence.

Benefits of knowing how to do prompt engineering 🌟

The main benefit is to get a quality response that responds to exactly what you are asking for.

To do this correctly, you have to know how each AI model works and what their characteristics are.

It is not the same to make a prompt to Google Gemini than to ChatGPT.

Examples of how to make a good engineering prompt ✍️

Example 1: Check the weather ☀️

❌ Bad prompt: "Give me the weather"

This prompt is too vague.

The AI doesn't know if you want to know the current weather, the forecast for tomorrow, in which city, or any other details.

✅ Good prompt: "What is the weather forecast for tomorrow in Madrid?"

The prompt is more accurate.

Example 2: Requesting a recipe 🍕

❌ Bad prompt: "I want a recipe to make a pizza"

This prompt is very general.

The AI doesn't know what kind of recipe you are looking for: desserts, salads, main dishes?

Do you have any ingredient preferences?

✅ Good prompt: "Give me an easy-to-understand recipe for a carbonara pizza with the steps and ingredients. Give me the numbered step-by-step and don't go over 1500 characters."

This prompt is specific and clear.

I hope you find this tool useful and use it in your daily life.

We leave you a guide made by OpenAI with more examples: Prompt Engineering - OpenAI API