How the YandexGPT neural network works and what it can do
Posted: Sun Feb 16, 2025 7:16 am
An example of analysis and idea generation. Source: Yandex
How the YandexGPT neural network works and what it can do
Example for understanding the context. Source: Yandex
According to the results of internal measurements, the new version makes fewer mistakes, understands questions better and solves problems. It can be used, for example, for customer support in the banking sector or for working with large and complex documents, contracts, and regulatory acts in the industrial sector. The infographic below shows the ability of different neural networks to understand requests and solve problems in Russian and from different fields.
How the YandexGPT neural network works and what it can do
Source: Yandex
Here is a list of what the updated version of YandexGPT 3 Pro has learned better:
Answer content generation tasks. The new model searches belgium telegram data for information more accurately, “hallucinates” less, and better structures the search results text.
Communicate in a chatbot to organize customer support for companies.
Analyze longer texts and answer questions about them.
Conduct long dialogues with users.
Rewrite and reformulate texts.
The number of boundary conditions and limited response formats for prompts that users will use has increased.
Stably solve JSON format problems.
Classify information, answer questions without relying on the data in the query.
How the YandexGPT neural network works and what it can do
The neural network analyzed the content of the book and generally answered the main question, albeit briefly
Companies can independently customize the Yandex GPT 3 Pro model to suit their needs using their own dataset and the special Yandex DataSphere service. More details here .
YandexGPT 4 Pro and 4 Lite versions
YandexGPT 4 Pro and 4 Lite are the latest versions of the language model, relevant as of late 2024 and early 2025. The neural network has learned to come to a more accurate answer through a chain of reasoning, that is, to solve complex problems by dividing them into several steps. Compared to a similar model of the previous generation, the GPT 4 Pro version shows more accurate answers in 70% of cases.
How the YandexGPT neural network works and what it can do
Example for understanding the context. Source: Yandex
According to the results of internal measurements, the new version makes fewer mistakes, understands questions better and solves problems. It can be used, for example, for customer support in the banking sector or for working with large and complex documents, contracts, and regulatory acts in the industrial sector. The infographic below shows the ability of different neural networks to understand requests and solve problems in Russian and from different fields.
How the YandexGPT neural network works and what it can do
Source: Yandex
Here is a list of what the updated version of YandexGPT 3 Pro has learned better:
Answer content generation tasks. The new model searches belgium telegram data for information more accurately, “hallucinates” less, and better structures the search results text.
Communicate in a chatbot to organize customer support for companies.
Analyze longer texts and answer questions about them.
Conduct long dialogues with users.
Rewrite and reformulate texts.
The number of boundary conditions and limited response formats for prompts that users will use has increased.
Stably solve JSON format problems.
Classify information, answer questions without relying on the data in the query.
How the YandexGPT neural network works and what it can do
The neural network analyzed the content of the book and generally answered the main question, albeit briefly
Companies can independently customize the Yandex GPT 3 Pro model to suit their needs using their own dataset and the special Yandex DataSphere service. More details here .
YandexGPT 4 Pro and 4 Lite versions
YandexGPT 4 Pro and 4 Lite are the latest versions of the language model, relevant as of late 2024 and early 2025. The neural network has learned to come to a more accurate answer through a chain of reasoning, that is, to solve complex problems by dividing them into several steps. Compared to a similar model of the previous generation, the GPT 4 Pro version shows more accurate answers in 70% of cases.