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Phi-4 is a state-of-the-art language model developed by Microsoft Research, designed to deliver advanced reasoning capabilities within a compact architecture. With 14 billion parameters, this dense decoder-only Transformer model is optimized for text-based inputs, particularly excelling in chat-based prompts. Trained on a diverse dataset comprising 9.8 trillion tokens—including synthetic datasets, filtered public domain content, academic literature, and Q&A datasets—Phi-4 emphasizes high-quality data to enhance its reasoning abilities. The model underwent rigorous enhancement and alignment processes, incorporating both supervised fine-tuning and direct preference optimization to ensure precise instruction adherence and robust safety measures. Released on December 12, 2024, under the MIT license, Phi-4 is tailored for applications requiring efficient performance in memory or compute-constrained environments, latency-sensitive scenarios, and tasks demanding advanced reasoning and logic. Key Features and Functionality: - Advanced Reasoning: Phi-4 is engineered to perform complex reasoning tasks, making it suitable for applications that require logical processing and decision-making. - Efficient Architecture: With 14 billion parameters, the model offers a balance between performance and resource utilization, catering to environments with memory and compute constraints. - Extensive Training Data: The model is trained on a vast dataset of 9.8 trillion tokens, including high-quality synthetic data, filtered public domain content, academic books, and Q&A datasets, ensuring a comprehensive understanding of diverse topics. - Optimized for Chat Prompts: Phi-4 excels in generating coherent and contextually relevant responses to chat-based inputs, enhancing user interaction experiences. - Safety and Alignment: The model incorporates supervised fine-tuning and direct preference optimization to adhere to instructions accurately and maintain robust safety measures. Primary Value and User Solutions: Phi-4 addresses the need for a powerful yet efficient language model capable of advanced reasoning in resource-constrained environments. Its optimized architecture and extensive training enable developers to integrate sophisticated AI capabilities into applications without compromising performance. By focusing on high-quality data and safety measures, Phi-4 ensures reliable and contextually appropriate responses, making it a valuable tool for enhancing user engagement and decision-making processes in various applications.
Microsoft 365's Records Management is a comprehensive solution designed to help organizations manage their regulatory, legal, and business-critical records effectively. By leveraging this system, businesses can meet legal obligations, demonstrate compliance with various regulations, and enhance operational efficiency through the systematic disposition of items that are no longer required. Key Features and Functionality: - Retention Labels: Create and configure labels to mark items as records, which can be applied manually by users or automatically based on specific criteria such as sensitive information, keywords, or content types. - File Plan Management: Develop and manage retention requirements by importing existing retention plans or creating new ones, facilitating enhanced management capabilities. - Event-Based Retention: Initiate different retention periods triggered by specific events, ensuring timely and relevant retention practices. - Disposition Reviews: Review and validate the disposition of records, providing proof of deletion and ensuring compliance with organizational policies. - Audit Trails: Maintain comprehensive logs of all activities related to records, offering transparency and accountability in records management processes. Primary Value and Problem Solved: Microsoft 365's Records Management addresses the critical need for organizations to manage their records in compliance with legal and regulatory requirements. It provides a structured approach to classify, retain, and dispose of records, thereby reducing risks associated with non-compliance and data breaches. By automating retention policies and ensuring proper disposition of records, the system enhances operational efficiency and supports organizations in maintaining a defensible and transparent records management strategy.
Semantic Kernel (SK) is an open-source, lightweight SDK designed to seamlessly integrate advanced AI capabilities, such as Large Language Models (LLMs), into conventional programming languages like C#, Python, and Java. By combining traditional code with AI-driven prompts, SK enables developers to create intelligent applications that enhance user productivity and engagement. Whether it's summarizing lengthy conversations, automating complex tasks, or generating insightful content, SK provides the tools necessary to build sophisticated AI-first applications efficiently. Key Features and Functionality: - Prompt Templating and Chaining: Facilitates the creation of dynamic AI prompts and the chaining of multiple prompts to perform complex tasks. - Skills Architecture: Allows developers to build reusable "Skills" as semantic or native code, promoting flexibility and extensibility. - Memory and Connectors: Integrates "Memories" for context retention and "Connectors" for accessing live data and services, enhancing the AI's contextual understanding and real-time capabilities. - Planner: Translates user requests into actionable sequences by orchestrating Skills, Memories, and Connectors to achieve desired outcomes. - Multi-Language Support: Compatible with models from OpenAI, including GPT-4, and Azure OpenAI Service, with support for C#, Python, and Java, catering to a broad developer audience. Primary Value and Problem Solved: Semantic Kernel addresses the challenge of integrating advanced AI functionalities into existing applications without the need for extensive AI expertise or training custom models. By providing a unified framework that blends traditional programming with AI capabilities, SK empowers developers to enhance their applications with intelligent features, automate complex processes, and deliver more engaging user experiences. This accelerates the development of AI-driven solutions, reduces time-to-market, and democratizes access to cutting-edge AI technologies.
Graph Engine (GE) is a distributed, in-memory, large graph processing engine, underpinned by a strongly-typed RAM store and a general computation engine. The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set.
The Suplari Intelligence Platforms leverage the latest AI-derived algorithms to drive action and proactively uncover the highest-value opportunities.
Microsoft Security Exposure Management is a comprehensive security solution designed to provide organizations with unified visibility into their security posture across various assets and workloads. By continuously discovering and assessing assets, it enables security teams to proactively identify vulnerabilities, prioritize critical risks, and implement effective remediation strategies to reduce the attack surface and enhance overall security. Key Features and Functionality: - Attack Surface Management: Offers a continuous and comprehensive view of the organization's attack surface, allowing teams to monitor exposure and focus on protecting critical assets. - Attack Path Analysis: Visualizes potential attack paths, enabling security teams to identify and prioritize remediation efforts to reduce risks effectively. - Unified Exposure Insights: Aggregates security posture data from various sources, providing decision-makers with a consolidated view of the organization's threat exposure to facilitate informed decision-making. - Integration with Security Tools: Seamlessly integrates with both Microsoft and non-Microsoft security and infrastructure tools, including Microsoft Defender for Endpoint, Microsoft Defender for Identity, and Microsoft Defender for Cloud Apps, to provide a holistic view of the security environment. Primary Value and Problem Solved: Microsoft Security Exposure Management addresses the challenge of fragmented security data and siloed management by unifying disparate data sources into a single, comprehensive view. This integration empowers organizations to proactively manage their attack surfaces, protect critical assets, and mitigate exposure risks. By providing continuous visibility and actionable insights, it enables security teams to transition from reactive vulnerability management to a proactive, risk-based approach, thereby enhancing the organization's overall security posture and resilience against evolving cyber threats.
Smaller Phi-3 model variant with extended 8k token context and instruction capabilities.
Setup Studio is a native Windows application for creating setup packages with a clear, script-based workflow. It helps you define your installer project, configure application details, choose installation settings, and build setup packages for your applications — all in one lightweight desktop tool. With Setup Studio, you can manage important installer options such as app information, output paths, installation folders, shortcuts, and package behavior in an easy-to-edit project script. This makes it simple to create reproducible installer builds and maintain your setup configuration over time. Features Create installer projects with a script-based workflow Configure application information and publisher details Define installation paths and output locations Set up shortcuts and installer behavior Manage project settings in a clear text-based format Build native Windows setup packages for your applications Lightweight native desktop experience Why Setup Studio? Setup Studio is designed for developers and software creators who want a straightforward way to prepare Windows setup packages without unnecessary complexity. Its project-based approach makes installer creation easier to organize, edit, and reuse.
Microsoft Purview Privileged Access Management (PAM is a security feature within Microsoft 365 designed to provide granular control over privileged administrative tasks. By implementing just-in-time (JIT access, PAM ensures that users receive only the necessary permissions for specific tasks, reducing the risk associated with standing administrative privileges. This approach enhances organizational security by minimizing potential exposure to sensitive data and critical configuration settings. Key Features and Functionality: - Just-in-Time Access: Users request time-bound access to perform elevated tasks, ensuring permissions are granted only when needed. - Approval Workflows: Access requests undergo a defined approval process, adding an extra layer of security and oversight. - Granular Access Control: Administrators can define policies that specify which tasks require elevated permissions and the conditions under which they can be performed. - Audit Logging: All privileged operations are logged, providing a comprehensive audit trail for monitoring and compliance purposes. - Integration with Microsoft Entra Privileged Identity Management (PIM: While PAM controls access at the task level, PIM manages role-based access, offering a layered security approach. Primary Value and Problem Solved: Privileged Access Management addresses the security challenges associated with standing administrative privileges. By enforcing JIT access and approval workflows, it mitigates the risks of unauthorized access, insider threats, and potential breaches. This ensures that organizations can maintain a robust security posture, comply with regulatory requirements, and protect sensitive information effectively.
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Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 8,000 passionate employees worldwide.