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Phi Family of Small Language Models

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Phi models are Small Language Models (SLM) developed by Microsoft.  They’re designed to handle various tasks, including text, image, and speech processing, while requiring less computing power.  The models are open-source, available with the MIT License.   The diagram below shows the evolution and capabilities of various Phi models.        With the recent release of Phi-4 Multimodal model, more features are now available. In addition, here are some of its most notable features: 1. Multimodal Data Processing: Phi-4 Multimodal excels at handling text, images, and speech at the same time. This means it can interpret and generate content across different formats, making it incredibly versatile for various applications. 2. Efficient Performance: Despite its advanced capabilities, Phi-4 Multimodal is designed to be highly efficient. It requires significantly less computing power compared to larger AI systems, making it accessib...

Microsoft 365 Copilot Data Q&A

Question:  I need to know if data entered and used in the $30 Copilot service in M365 is secured in the same way that data in the $0 M365 Copilot Chat. I cannot find a reference that explains this. I want to know if my users can use both without the risk of having our content exposed outside of our tenant.   Answer : Yes, both the $30 Microsoft 365 Copilot service and the $0 Microsoft 365 Copilot Chat offer the same level of data security and privacy protections. Both services are covered by the same enterprise data protection (EDP) controls and commitments under the Data Protection Addendum (DPA) and Product Terms. Your data is protected with encryption at rest and in transit. Also, Microsoft does not use your data to train foundation models.  In a nutshell, your data remains yours and yours alone.  For additional references, see the following links: https://learn.microsoft.com/en-us/copilot/privacy-and-protections https://learn.microsoft.com/en...