The Microsoft GenAI team is working to reduce the running costs of AI models and improve scalability. They plan to build smaller, more economical language models that will reduce reliance on supercomputers. The project is led by Misha Bilenko and is part of the Azure cloud division. This move is of great significance to cloud AI service companies, meaning that AI applications will be able to run on a wider range of more economical hardware, and it will be easier to promote applications, thereby benefiting more users and promoting the popularization of AI technology.
The Microsoft GenAI team is working on building smaller, more economical language models to reduce the cost and improve scalability of running artificial intelligence models on supercomputers. The team will be led by Misha Bilenko and will become part of the Azure cloud division. This move is an important development for cloud artificial intelligence service companies, which can run on a wider range of hardware, is lower cost, and is easier to promote and apply.
This move marks an important step for Microsoft in the field of AI and is committed to making AI technology more accessible and applicable to provide convenience to more users. In the future, smaller and more economical AI models will promote the popularization of AI technology and promote its application in various industries.