Top neural networks for study
The history of neural networks began in 1960 with the creation of the simplest machine learning model (perceptron). In the 80s, major research was curtailed due to an obvious lack of computing power. In the early 2000s, with the advent of new processors, the development of software with integrated AI reached a completely new level. And it was then that the deep learning method based on big data processing appeared, which began to be used in many industries - from the financial sector to manufacturing and medicine.
And in 2020, OpenAI announced the Generative Pretrained Transformer 3 language model, which began a general interest in AI technology. In 2022, ChatGPT was released, which made a lot of noise, gained 100 million users in a couple of months and flew into the top of the fastest growing platforms.
Why did they become popular
Neural networks save time. With them, you can speed up the search for information on the Internet, make a presentation or write an essay. For those who study English, AI can partially replace a tutor. You can talk to the bot (or let it analyze an audio recording), and it, in turn, will point out pronunciation errors and tell you how to correct them.
If we talk about functionality, it is impressive. AI can work with text files, generate pictures based on descriptions, compose stories and scientific articles. Translate from Russian to foreign languages and back, write program code and create technical documentation. The algorithm can be assigned to draw up a plan for a term paper, an essay, search for information, solve typical (routine) tasks. Create pictures or design a presentation.
Just do not forget that although neural networks are called artificial intelligence, the machine does not have intelligence. It is a program, albeit a complex one, that can quickly process information, but lacks the ability to build logical chains. And the accuracy of the result greatly depends on the wording of the request.
You shouldn’t trust a bot with complex, atypical tasks with clarifying, variable conditions. If the algorithm doesn’t find the answer online (which is very likely), it will “invent” it. AI won’t generate a good essay either - machine texts are usually boring and illogical, and they can be distinguished from “human” ones without any checks or runs through special programs.
Therefore, on almost any platform, the developer advises checking the results manually - proofreading essays, checking the relevance of links to sources. Ideally, programs with AI should be used as an additional tool for studying.
List of the most popular
Let’s say in advance that the neural networks presented below in the free access tariff have limited functionality. Which, however, is still enough to help both schoolchildren and students in their studies, and when independently studying programming, for example.
We would include the following in the top free neural networks for studying:
- Gliglish is a virtual tutor with which you can improve your spoken English, French (39 languages in total). The idea is that the user reads a poem in English, and the algorithm evaluates, corrects mistakes and gives advice on how to improve pronunciation. After logging in to the site, 10 minutes of lessons per day are available.
- Socratic - until 2013, it was a question-and-answer service. In 2019, Google bought it, turning Socratic into an application with built-in AI. Now Socratic can solve problems in the exact, natural sciences, literature and analyze complex problems no worse than a tutor.
- ChatGPT - can help with writing an essay, translate from Russian to a foreign language and vice versa, compress a voluminous text into a short summary. Supports uploading images from cloud storage - you can add a photo of a page from a textbook and upload it to the chat for solution. 4. Gemini – AI from Google can generate, check text for errors, solve problems in the exact sciences (including higher mathematics). “Understands” text, voice queries, can quickly find information on the Internet. Supports graphic images, Google services. Available in desktop and mobile versions for Android devices.
- Math GPT – is positioned by the developer as a personal solver of mathematical problems with built-in calculators. Can solve problems in mathematics, geometry, physics, accounting and chemistry. Supports file uploads, text queries.
- DeepL – a virtual translator with which you can translate articles from 33 languages. Study the logic of sentence construction. In addition, DeepL will give recommendations for improving essays, compositions, check grammatical errors. After registration, you can check up to 1500 characters per day, 3 documents or 10 articles (from the glossary) per month. To use it unlimitedly, you need to buy a subscription.
- Any Summary – will read a book or a scientific article for the user, analyze and compress the content to several pages. Highlight the necessary quotes and make an annotation. You don’t need to pay for anything. There are no limits, except for the size of the uploaded files.
You can work on all platforms after registering on the website or in the application. To register in ChatGPT, you need a phone number registered in any foreign country.
Why are they free
Developing and training neural networks is expensive. Why then do services provide free access, albeit with established limits? Firstly, users participate in AI training, expanding the number and variability of requests.
Secondly, this method draws attention to the services themselves, gives site visitors the opportunity to evaluate the functionality and, possibly, sign up for a paid subscription to get unlimited use of AI tools.
Where to find various neural networks for free
There are many options - AI selections for various tasks with links can be found on thematic resources, channels in messengers and social networks. On our website, for example, you can get access and detailed instructions for registering on the largest platforms, such as Claude, Midjourney for text processing, image generation. With paid and free tariffs.
Results
Neural networks really help simplify the educational process (this is confirmed by the teachers themselves), if you use them as a good tool, and do not try to shift the responsibilities associated with completing assignments for independent work to algorithms.
