How the YandexGPT neural network works and what it can do

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How the YandexGPT neural network works and what it can do

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Secondly, Yandex's neural network will not be able to answer every question. Alice does not yet understand topics that are complex from the point of view of ethics, morality, and law.

An example of a tricky question and a diplomatic answer

Finally, it is important to check all the answers you get from the neural network. Especially if it concerns facts, dates, names, formulas and other precise information. The neural network can still make mistakes, so do not mindlessly copy its answers into a presentation, project justification or speech text.

What is the difference between the YandexGPT neural network and ChatGPT
ChatGPT is an AI chatbot from OpenAl that can conduct a dialogue, answer questions, write program code, poems, scripts, and much more. We wrote about how to use it in detail in this and this articles.

In essence, YandexGPT and ChatGPT perform the same belgium telegram data functions. But there are some important differences between them.

Supported languages. ChatGPT supports queries in 95 languages: English, Russian, Chinese, French, Spanish, etc. YandexGPT only supports Russian.

Integration with applications. YandexGPT is integrated into Alice and is connected to the entire Yandex ecosystem. For example, using this neural network, you can choose the best pizza in the city and order its delivery via Yandex Food or find a place on Yandex Maps for a specific request. ChatGPT is not integrated into any applications, so it does not solve such problems.

Data collection. ChatGPT is owned by the non-profit organization OpenAI, which does not pursue profit. Their goal is to study artificial intelligence. Therefore, ChatGPT collects anonymized data, which is used for further training of the neural network. At the same time, the user has the opportunity to write to the company's website and ask to delete all collected information. YandexGPT is owned by Yandex, so here information about users is collected not only for further training of the neural network, but also for more precise advertising settings.
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