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How artificial intelligence affects learning and work

"Artificial intelligence will seriously change the field of education," the CEO said UNESCO Audrey Azoulay. Teaching methods, teaching methods and training will change teachers.

For all the successes of AI, people are still the driving force. We tell you how to be a leader, not a follower, and how to "tame" neural networks.

1. Automates repetitive actions. Perhaps the strongest side of neural networks. Ilya Birman, art director and co—author of the course "User Interface and information Representation", wrote: the better the neural network, the less routine boredom a person will have to do and the more interesting it is to work.[1] 

2. Provides quick access to knowledge. Sometimes Google and Yandex do not show the information and have to spend time searching for the answer. Artificial intelligence quickly produces the desired result.

3. Comes up with ideas. When there is no inspiration for creativity, the neural network will help you come up with a script, an idea for a project or for a post. 

4. Works with bulk materials. The neural network perfectly rewrites other people's articles, compiles comparative tables and checklists.

5. Explains the information in simple language. ChatGPT versions 3.5 and 4.0 squeeze the main thing out of a large text. Artificial intelligence compiles a short version of the text and finds interesting techniques to explain. It is useful for students, teachers, copywriters and editors.

1. Make specific requests. Help artificial intelligence and don't use vague formulations. If you need an article, specify the target audience, the size of the text and the desired structure.

2. Check the information. The main problem of neural networks is reliability. Maxim, a writer, linguist and editor, often talks about this Ilyakhov.

The expert cited his failure as an example. Maxim Ilyakhov requested quotes from Leo Tolstoy with sources from the neural network. The editor took the result to the proofreader, to which the editor was told "Tolstoy does not have not only these quotations, but also these works."[2] 

3. Try new approaches. The effectiveness of a neural network depends on how it is used. Give AI examples of images, styles, and authors. Analyze each result and change your approach.

So, where does artificial intelligence help:

● For designers — solves routine tasks;

●     For copywriters — makes rewrites, finds the main idea in the text, comes up with ideas for posts;

● To teachers — explains complex things in simple language and provides examples to explain.

Quick search of information — when Google did not help;

●     Help in writing notes — when you are too lazy to rewrite the textbook;

●     The search for ideas for projects is when inspiration has run out. 

By the way, the last block was written using artificial intelligence. Of course, it was not without the help of the editor. Remember that everything needs to be checked. Then the neural network will become your assistant. / source


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