When neural networks first appeared, people far from the IT sphere met them with skepticism, thinking they would only be suitable for entertainment. However, in a very short time, new technologies have become an integral part of our lives, penetrating into various areas of life.
Neural Network Capabilities
As computer technologies evolved, scientists noticed that the operation of a computer is similar to the functioning of the human brain, at least the part that has been studied. And that’s when the idea of creating artificial intelligence was born, by combining neurophysiology and cybernetics.
Neural networks operate on the principle of the human CNS and consist of individual computational elements – neurons. They are capable of processing large volumes of information, but most importantly – they are capable of self-learning.
Despite the fact that the basic principle of creating neural networks was invented in the middle of the last century, their heyday came in the second decade of the current century. The explanation is simple: earlier, there were no technical capabilities, i.e., such powerful computers.
The possibilities of neural networks are virtually limitless. They are used in various spheres of life – making forecasts, conducting analysis, recognizing photos, texts, and speech.
How They Can Be Used
Neural networks can be used in medicine; they will not replace doctors but can help assess the risk of developing certain diseases. In the banking sector, AI is used as a controller, making it easy to track suspicious transactions. Also, chatbots can create personalized content by analyzing user data.
Neural networks are also actively used for entertainment, for example, they can process photos. And they can write posts, articles, and even compose books.
List of Neural Networks and Their Capabilities
The most famous text generation bot is ChatGPT, created by OpenAI. It’s an AI model trained on vast amounts of textual information, whose main tasks are writing texts on demand and chatting with people in chat mode. However, saying that it’s the only functional chatbot would be incorrect. There are ChatGPT alternatives that work just as well.
Let’s consider the best ChatGPT alternatives that support Russian and are available for use in Russia without a VPN. We have compiled a kind of TOP ChatGPT alternatives, including the most convenient options for use. However, the list order is random, and the fact that one service is ranked above another does not indicate its advantages.
- Chat AI. Provides free access to ChatGPT through a website and a chatbot on Telegram. The advantage of this chatbot is that it works with search engines in real time, so the information it provides is up-to-date. Plus, users can choose a template: standard or advertising text. Russian texts are given through a translator, so sometimes awkward phrases pop up. You can use the service for free, but the text volume is limited to 1000 characters and 100 requests per month. For generating larger volumes, a paid subscription should be considered.
- Rytr. This service works “creatively”; it copes well with writing artistic texts and even writes poetry. In terms of the variety of styles, this chatbot is one of the best. Free content is limited to 10,000 characters per month.
- Gerwin. This bot is an excellent assistant for a blogger. It can do a lot: create a catchy title for a video, write a sales article with “keys,” and even generate images. The downside of this service is that it doesn’t know Russian very well, so it makes spelling mistakes and sometimes “invents” new words. The volume of free characters, like other services, is 10 thousand characters.
- Character is an interesting bot that allows you to communicate with a variety of people, including fictional characters from books and films. The bot will respond in the manner of the given character. It communicates in Russian through machine translation, so some phrases look odd, and sometimes the bot loses the context of the conversation. The number of dialogues per day is limited for unregistered users.
- The most famous ChatGPT alternative in Russia is the development by Yandex called Alice. The bot was created as a virtual assistant, which includes YandexGPT. This makes Alice a worthy competitor to ChatGPT. The advantage of Alice is in her good knowledge of Russian; the bot was initially trained in Russian, so there is no “language barrier” and issues caused by machine translation do not occur. The service is oriented towards creative tasks but is quite capable of writing a business letter.
- Balaboba is another ChatGPT alternative created by Yandex. However, its capabilities cannot compare with Alice’s — it is quite simple, and as the creators write, “does not guarantee the reliability of the presented facts.” But for simple tasks like writing a post for social media, this service performs excellently. Moreover, it is a completely free ChatGPT alternative, so you can put up with minor errors in its operation.
Certainly, these are not all neural networks available to users from Russia. A complete list would be much longer. Therefore, if none of the chatbots suggested above suit you, you can find other options.
What Neural Networks Can Do Now
One might get the impression that the main task of neural networks is to write texts. In fact, this is not the case. There are many paid and free-to-use services for generating and processing photos, creating videos. There are also ChatGPT alternatives for programming that allow developers to partially automate the programming process.
AI can also manage various equipment, recognize faces and car numbers, solve logistics tasks, and monitor the health and safety of people.
Conclusion
Thus, neural networks are a powerful tool of artificial intelligence. They have the ability to learn from a large volume of data and apply the acquired knowledge to solve various tasks. Neural networks can be successfully applied in image processing, speech recognition, recommendation systems, and many other areas. Their efficiency and accuracy make them indispensable tools. However, it is also necessary to consider the potential negative aspects of neural networks, such as issues with the transparency of their decisions. Overall, neural networks represent a promising and expanding field of research that is becoming increasingly important with each passing year.
