Neural networks process information almost the same way as the human brain does. Hence the flexibility, high accuracy and the ability to self-learn. That is, unlike standard software, AI can write algorithms for themselves that help increase the accuracy of the response to a user request.
Neural networks can find information in seconds, generate visual content and meaningful texts, from fiction to scientific articles and student term papers. Can AI be used in studies, can they be trusted to write essays and how to do it correctly - let’s figure it out.
Here, probably, there is no need for complex explanations. Neural networks help save time. For example, to find sources on a serious scientific topic manually, several hours are needed. AI can handle this in less than a minute. About the same amount of time will be spent on generating a content plan and the text itself. Even if you add the time for compiling the prompt and proofreading, you get several hours to write a standard 20-page abstract.
The second reason for popularity is the price. Many AI bots have a paid subscription with an unlimited number of requests, on average, 500-800 rubles. If you consider that many AI services interact with several types of models that can generate text and visual content, you get a much more universal tool that will be useful for presentations and coursework. For comparison, on platforms that provide consulting assistance or work as intermediaries between student customers and authors, you will have to pay at least 1,500 rubles for 1 completed task, with formatting and plagiarism checking (the rest depends on the topic and scientific direction).
But neural networks also have their drawbacks. The main thing is that the result will most likely fail the plagiarism test, since AI usually just takes fragments from different articles without any processing. In addition, AI can interpret data incorrectly, “invent” non-existent events, confuse authors and titles of works of art, and cite incorrect sources (for example, studies that no one conducted). Plus, neural networks cannot structure large volumes of text data. Instead of a coherent story, you can get unrelated paragraphs.
Another problem is that the result strongly depends on the formulation of the problem. The more detailed and expanded it is, the fewer edits there will be. If, for example, you give the algorithm the title “the meaning of AI”, it will give a set of cliches that are usually found in articles that a search engine gives for a similar request.
The top free neural networks for essays include the following services:
Campus AI - trained on student term papers, working with a relevant scientific base. He will write it himself, he will format it according to the required standard - with a table of contents, introduction, list of references. The student is only required to provide the title and a precise formulation of the content. Access opens after registration on the platform. 1 token is given per day.
Zaochnik.com is an online service for finding authors to complete student papers, with an integrated AI bot. The user is given 5 attempts. The limit for the wording of the task is 500 characters, the result volume is 1500. It is not suitable as a full-fledged AI service, but it is quite suitable for drawing up a plan and a basis, which can then be supplemented. Registration on the site is not required.
A24+ is a platform that works with 14 neural networks, including GPT versions 3.5, 4 and 30 AI bots, already configured for different tasks. From generating text, high-quality images, to solving tasks in the exact sciences. With convenient tools for searching data, increasing uniqueness indicators. Users have access to 3 attempts per day, with a subscription - twice as many.
Perplexity Pro is an intelligent search engine. It will not write the paper, but it will find the necessary sources of information in a couple of seconds. The basic version includes 3 Pro queries per day, there are no restrictions on the use of the search engine.
Sensei Solutions is an analogue of a language model like ChatGpt, which can even handle dissertations. The algorithm will create a plan based on the description (you can simply duplicate the title) and, after correction by the user, will generate a result in accordance with the specified volume of characters. The basic version has 20,000 characters available daily, which is equal to about 10 pages in Word.
All platforms honestly warn that finished documents require proofreading to pass machine text recognition detectors. And they do not guarantee the relevance of the data used. If the topic is relatively new, it is worth checking each source that the AI refers to.
Let us clarify that all AI chatbots are conditionally free. For 0 rubles, you can get access with very limited functionality. This applies to both prompts and the volume of work itself. For example, AI bots in the demo version have a limit of 500 characters for the size of the request - it will definitely not be possible to formulate a detailed task. By and large, the trial period is needed to evaluate the interface and choose the optimal tariff in terms of price-tools ratio.
There are no difficulties here - these are sites for students providing consulting and services of authors writing to order. And social networks and chatbots in Telegram. When choosing, it is worth choosing large resources - there will be fewer risks, and the quality of the generated content is higher. It is worth considering that to access Open AI, products of other foreign developers, you need a VPN and a phone number with registration outside of Russia.
Claude, considered the main competitor of the ChatGPT language model;
Midjourney for generating images by description (from a portrait to visualization of an interior design);
Gemini for creating and processing any content - images, audio, documents.
There are detailed instructions and several tariff plans for users, including free access to the main functionality.
AI greatly simplifies the study and life of students. It is only necessary to understand that the capabilities of algorithms are not yet comparable with human intelligence, do not shift all the work to the neural network and use it as a good, convenient tool for searching and processing information.