What marketing tasks can be solved using neural networks

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Neural networks are a universal tool and a new assistant for marketers
In recent years, the development of artificial intelligence has been rapidly gaining momentum in many areas of human activity, making its implementation available to both large and small businesses. One of the trending areas today is neural networks, which we will discuss in the context of marketing.

How do neural networks work and what are they useful for?
The name itself gives us the first clues about how it works — the principle of the human brain was used as an example when developing the neural network. Artificial intelligence, just like the human brain, can build new neural networks using machine learning. Only, unlike humans, neural connections are artificial, and the network uses large argentina consumer email list data sets for training, which imitate mental activity. Thus, they can solve many marketing problems several times faster than humans, without requiring specialized knowledge or long training.

We will explain how this works in practice using the example of the DALL-E machine learning model developed by OpenAI. The main capabilities of the neural network are generating images and text by processing the description entered by the user and comparing it with the references received from the network. For training, more than 400 million matches were loaded into the DALL-E neural network: “image + text”, in addition, it independently analyzes a large amount of content from the network, which in total allows it not only to give relevant answers, but also to constantly develop. And the more data arrays the neural network processes, the more perfect its answers become.

This is what a neural network looks like according to a neural network

The capabilities of neural networks do not end with generating and processing images. For example, the ChatGPT model is capable of imitating human texts and conducting unscripted and natural dialogues with reasoned answers. There are also neural networks for editing simple animations, for example, Make-A-Video or Syntesia.io.