Microsoft just launched a suite of industry-adapted AI models developed with partners like Bayer, Siemens, and Cerence. Built on its lightweight Phi architecture, these specialized SLMs target practical domain tasks from crop protection and in-car controls to factory floor troubleshooting via Azure AI Studio.
Microsoft just introduced a "correction" preview in Azure AI Studio that flags inaccuracies and rewrites flawed outputs before users ever see them. It works by grounding generated text against source documents, though Microsoft admits using models to police other models isn't foolproof.
Microsoft just announced a multi-year partnership with French startup Mistral AI, making its new flagship model Mistral Large available first on Azure AI. Mistral gets Azure supercomputing power for model training, while Azure customers can run the model via MaaS alongside OpenAI's lineup. Why it matters: Microsoft is aggressively diversifying its cloud AI portfolio beyond OpenAI.
