Guide What is a prompt for neural networks?

[nikokik]

Promts are not just commands, but a bridge between human thought and the "brain" of artificial intelligence. The more precisely you build this bridge, the better it understands your requests. In this article, we'll look at how to build effective factories and why it's so important.

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Why do we need promptness in dialogue with AI?​

Neural networks like ChatGPT or Midjourney can't read minds. They analyze the text you send them and generate a response based on it. Prompt is your way of "tuning" the algorithm, setting the direction. For example, if you ask a neural network to "write text," it will do so, but the result may be general and formulaic. And if you add details — "write a light text about prompta for beginners, with examples and a friendly tone" - the answer will become more specific. Promptness has become the art of communicating with a machine. They help to overcome the barrier between human uncertainty and the strict logic of algorithms. Through them, we learn to speak the same language as AI, revealing its potential in creativity, business or education.

How do I create a tool that understands a neural network?​

The main secret is clarity and detail. Imagine that you are explaining a task to a colleague who is hearing about your project for the first time. The more context you give, the more accurate the result will be. For example, instead of "write a post for social media," you can say: "Write a funny post about coffee for Instagram, adding emojis and a question to the audience." It is important to consider the tone of the message. Neural networks learn from huge amounts of data, so they feel the difference between formal style and spoken language. If you want the text to sound like a dialogue with a friend, specify this: "Explain the theory of relativity as if we were talking over a cup of tea." Another life hack is to use examples.

Prompta in action​

Let's take a real situation: an entrepreneur wants to create a description for a new product. If he writes "generate text for the site," the AI can produce a dry technical text. But if the prompt sounds like "Come up with a vivid description for an eco-friendly bottle of water, emphasize the benefits for nature and add a call to action," the result will become more vivid and convincing. Another example is creativity. An artist using neural networks to generate images can get an abstract picture based on the query "city of the future". But if he clarifies: "A futuristic city with glass skyscrapers, flying cars and green parks on the roofs, in the anime style," the AI will draw exactly what it intended.

Errors when creating prompta​

The most common mistake is vagueness. Queries like "do something cool" put the neural network in a dead end. The algorithm doesn't understand what's "cool" for you, and outputs a random result. Another problem is overloading with details. If there are too many requirements in the product, the AI may miss the point. For example: "Write a text about AI, but so that it is not long, with humor, for experts and beginners at the same time, with links to research and personal opinion." It is difficult for a neural network to choose priorities here. To avoid this, you should break down complex tasks into several simple suggestions or gradually refine the requests in the dialog. Neural networks, like humans, learn through communication.

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Conclusion​

In this article, I explained what promptas are and how to use them. If you still have any questions, please write in the comments.