Let's look at where neural networks are already being used in Yandex services, and how this will change the Russian-language Internet landscape in the very near future.
Whereas earlier language models would continue the text, the next possible word, now language models actually understand the context and meaning of the query, answering the question in the best possible way. Language models are trained to produce the most appropriate answers, and then users compare the results of the answers, selecting the most asia cell phone number list appropriate one in a particular case and marking it as the best, giving the language model new data to learn from.
YandexGPT 2 is presented in the form of a chat that can facilitate daily routine and perform a number of tasks facing managers, content makers and company executives.
The first version of YandexGPT was developed by Yandex and was a Russian analogue of the GPT-3 language model created by OpenAI. Based on the GPT (Generative Pre-trained Transformer) architecture, this model is capable of generating text on various topics, answering questions, and performing other tasks related to natural language processing. YandexGPT was trained on a large corpus of texts, which allowed it to generate high-quality and coherent content in Russian.
Users could use YandexGPT for various tasks, such as text creation, autocorrection, idea generation, answering questions, and even developing chatbots. This model became a valuable tool for developers and researchers working in the field of artificial intelligence and natural language processing.
YandexGPT 2 is a more advanced language model and is presented in the form of a chat that can facilitate daily routine and perform a number of tasks facing managers, catnet makers and company executives.