Contrary to popular belief that due to the development of artificial intelligence, content creation specialists will no longer be in demand, neural networks have not replaced people at all, but have become reliable assistants for them. It’s rare that a marketer or analyst doesn’t use AI in their work to optimize tasks, generate ideas, analyze, and many other types of routine work. Software developers use neural networks to generate code, test programs, and find bugs. Designers create 3D models, photographers improve photos, financiers predict risks.
To use AI tools, you don’t even need to delve into the technology of neural networks. It is only important to choose a service among a variety of platforms that will be suitable for solving your tasks. In this article, we will look at the most popular neural networks to help you choose a virtual assistant.
Every year there are more and more tools for generating texts, creating pictures and realistic photos, and writing music. And it’s so easy to get confused in programs when they all work on the same principle. But it only seems that way at first glance. In fact, each neural network has its own characteristics and a specific set of functions.
Rating of the most popular neural networks:
This is only a small part of the services that work on the basis of artificial intelligence. Machine learning specialists regularly create new tools for business, science, digital marketing, analytics, education, as well as for ordinary users. But not all chatbots are becoming popular.
It is difficult to predict in advance which tool will be in demand and which users will ignore. But neural networks with simple, understandable functionality, a large set of functions, and a minimum of incorrect results are becoming more popular.
If the image generator creates photos of people with six fingers or produces cartoon characters of the same type instead of realistic images, such a tool will not be popular. It’s the same with a text bot. He must respond correctly to requests, understand the context, and deliver diverse content without constantly repeating phrases.
Versatility is also taken into account. Previously, you had to choose a separate chatbot for each task, but now you can use a single neural network capable of generating text, images, animated images, analyzing data, and integrating with different platforms. More people use such services than highly specialized ones.
It is important to be able to use the AI generator for free, even with restrictions. In this way, developers attract more users and promote their neural network. At the same time, the product is being tested to improve its performance.
Neural networks are actively used for work, study, scientific research, and creative projects. AI tools are especially effective when processing large amounts of information is required. If it takes a person several days or even months to process, the neural network will work with the input data in minutes and without errors.
But artificial intelligence is especially in demand for content generation, making plans, writing posts on social networks with illustrations, for preparing educational materials and presentations. The neural network can produce variants of attention-grabbing headlines, write a script for a video clip, and even generate a video with character voiceover and subtitles. Musicians can use AI tools to write music, process tracks they have already written, and compose lyrics.
Another strong point of AI is the automation of routine work, which previously required the participation of a specialist. For example, machine learning-based systems are capable of automatically verifying contracts, finding inaccuracies, contradictions, and missing mandatory clauses. In logistics, they plan short routes, manage inventory, and forecast demand for goods. Artificial intelligence is able to cope with tasks that require speed, accuracy, and automation. Meanwhile, specialists can focus on more important work.
The choice of service depends on what problems you want to solve. Please note that not all tools are universal, so focus on the functionality. If there is a free version, test the service. It should be easy to use so that you can work with it without deep technical knowledge. Choose digital products with good technical support, regular updates, and feedback. And be sure to take an interest in new AI developments so as not to use outdated programs.