Neural networks know how to answer questions, generate texts of any focus, draw pictures, and even write codes! The main thing is to ask the right questions. Let's figure out what a neural network is and what tasks it solves, and also learn how to set the right tasks.

A neural network is a computer program that mimics the work of the human brain and is a specific type of artificial intelligence. Thanks to the neural network, AI makes decisions, learns, memorizes, creates new things.

Now neural networks are penetrating all areas of life - from casual chatter "about nothing", out of boredom, to creating texts, drawings, pictures, software codes. We explain how to correctly ask questions to a neural network so that it performs the work accurately.

How to Ask a Neural Network a Question

To get an accurate and useful answer, you need to formulate the question correctly, otherwise the neural network simply will not understand what is wanted from it.

Formulate the Question

The neural network answers questions that are formulated clearly, precisely, and specifically. The question should not contain ambiguity or vagueness.

Use Keywords

Add keywords or context to the request that will assist in answering this question. The more accurately you ask the neural network a question, the more accurate the answer will be.

Use Interrogative Words

Use words like "why", "how", "who", "what", etc., to direct the answer in the right direction.

Break Down a Complex Question into Several Simple Ones

Neural networks can provide answers to many questions, but it's better if they are simple. If your question implies a multi-step answer, break it down into several simple ones.

For example, you need to write an article about artificial intelligence. In the first step, ask the neural network to create a detailed outline of the article about artificial intelligence. If necessary, adjust the answer, and then make a repeat request: "Write a text about artificial intelligence based on the outline..."

Specify Additional Parameters

Set additional parameters: volume, absence or presence of certain words in the text, text style, tone.

If you ask the neural network to generate a picture, also specify as many details as possible. A bad request is "Draw a kitten". From it, you will get pictures of kittens of different colors, with different facial expressions, on a random background. A good request is "Draw a joyful kitten with green eyes among daisies". In this case, you will get images that match the request as closely as possible. Some of them may be realistic, and others - cartoonish.

Try to Reformulate the Request

If you are not satisfied with the neural network's response, reformulate the question differently.

Where Neural Networks Are Used

The scope of neural network applications is quite wide. Let's highlight some of the most popular functions.

Just Chat

As mentioned, AI-bots can support conversations by mimicking the speech of famous people.

Draw a Picture

Neural networks for image generation are gaining popularity. In a short period, neural networks have learned to draw details, create images in different styles.

Write a Content Plan

Use neural networks for content plans on any topic - to generate them. For example, Postmypost AI can write a detailed content plan for a month in 12 seconds.

Write a Text

Neural networks can be used for writing texts, requesting them to pick title options for texts, keywords and search queries, meta tags. Neural network can also rewrite texts! And they do it in such a way that it passes plagiarism check.

Propose Ideas

In just a few seconds, neural networks can propose dozens of ideas on any subject: how to congratulate a friend, how to name a kitten, what to write about in a blog.

Generate Code

Neural networks know how to generate functional codes. However, do not expect them to create an application right away - that's too large a task. Break it into several simple parts, and then assemble it manually. The more accurately the task is described, the more accurate and interesting the result will be.

Try, experiment in working with neural networks. Change the requests, rephrase them differently, and very soon you will be able to ask the neural network a question on the first try and get a suitable answer from it.