MTS MWS GPT

The main articles are:

• Speech Recognition (Technology, Market)
• Speech technology: On the path from recognition to understanding
• SaaS - History. Philosophy. Development drivers

2025: Launch of MWS GPT

MTS, a digital ecosystem, on February 5, 2025 announced the launch of MWS GPT, a cloud B2B platform that unites the company's large language models. With the help of the service, small, medium and large businesses will be able to simultaneously use different LLMs, as well as work with any Open source models, learn them more, use function calling functionality, and then implement and use ready-made solutions on the ecosystem infrastructure.

Inside the platform there is its own chat interface, which allows you to save prompts and exchange them, as well as a No-Code designer for designing and creating applications without involving developers. At the first stage, you can connect the cloud version of MWS GPT, in the future it will be possible to deploy the service on the customer's infrastructure. At the next stage, it is planned to increase the number of available models, including with the help of popular products of other companies on the market.

To achieve good results, it is important to constantly experiment. It was for this purpose that we launched the LLM aggregator inside MTS. As of February 2025, we record over 1.2 million calls to the platform per day. Having made sure of the efficiency and reliability of the service, we decided to enter the foreign market. Working with different models, our customers will be able to choose the most suitable, without issuing numerous subscriptions and optimizing the cost of technical support. In my opinion, in order to get the best result in solving problems using LLM, you do not need to focus on one. MWS GPT is based on an agent architecture that allows any model to be an AI Agent. In addition to the usual text response, MWS GPT decides to use this or that skill depending on the task. For example, in the case of mathematical calculations, the model refers directly to the interpreter, instead of trying to continue the text based on the training corpus, and if the training data is not enough for a complete answer, it makes a request to the search engine, - commented Pavel Voronin, First Vice President for MTS Technologies.

Payment for using the service will be charged depending on the number of tokens processed, which reduces the entry threshold for small businesses.