Automation

Phi-3 Vision – Catalyzing Multimodal Innovation

Co-authors: Priya Kedia, Michael Tremeer Contributors: Ranjani Mani Phi-3 Vision, a lightweight and state-of-the-art open multimodal model, is a significant advancement in Microsoft’s AI offerings. Developed with a focus on producing a high-quality, reasoning focused model, Phi-3 Vision utilizes synthetic data and curated publicly available web data to ensure its robustness and versatility. At only […]

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Navigating the Generative AI Landscape with Azure AI Services: Insights from Customer Round Table

Introduction The adoption of Generative AI (GenAI) technologies is accelerating, driven by the transformative potential they offer across various sectors. Recently, we hosted a customer round table conference at Microsoft Build, focusing on the journeys and adoption of GenAI using Azure AI services. Industry leaders from diverse fields shared their experiences, challenges, and strategies, providing

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How to achieve cloud-native endpoint management with Microsoft Intune

This is the final blog post in our series highlighting the increasing benefits of becoming fully cloud-native in endpoint management with Microsoft Intune. In our first post, we talked about why more of our customers are migrating to cloud-native endpoint management. Our second post presented a three-phase model for how customers can go cloud-native with

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Debugging Playbooks

This article assumes knowledge of how to create Microsoft Sentinel Analytic Rules, Automation Rules, and playbooks. Create the playbook You will want to create the playbook first, since one will need to be created before it can be used in the Automation rule.   In the example shown below, the playbook will iterate through all the

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AI jailbreaks: What they are and how they can be mitigated

Generative AI systems are made up of multiple components that interact to provide a rich user experience between the human and the AI model(s). As part of a responsible AI approach, AI models are protected by layers of defense mechanisms to prevent the production of harmful content or being used to carry out instructions that

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Business-in-a-box: Applying AutoGen and multi-agent systems to an enterprise context

Contributors: Priya Kedia, Shikha Agrawal, Nyuk Ching Lee, Ming Gu, Sunil Sattiraju, Naveen Gopalakrishna, Scott Holden, Daniel Csillag Generative AI (GenAI) is revolutionizing how businesses engage with customers and streamline internal processes. However, scaling these innovations beyond a handful of use cases remains a significant challenge. Typically, enterprises build separate applications for different use cases—

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Best Practice Guidance for PTU

Co-authors: Luca Stamatescu, Alex Shen, Ming Gu, Michael Tremeer Contributors: Ranjani Mani In today’s rapidly evolving tech landscape, proficiency with Azure OpenAI is crucial for maintaining a competitive edge. Enhanced by the latest announcements at Build 2024, this guide from our Global Black Belt team focuses on the effective management of Provisioned Throughput Units (PTUs)

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Best Practices to Manage and Mitigate Security Recommendations

In the fast-evolving landscape of cloud security, Microsoft Defender for Cloud (MDC) stands as a robust Cloud Native Application Protection Platform (CNAPP). One of its standout features is the premium Cloud Security Posture Management (CSPM) solution, known as Defender CSPM. Among the myriads of advanced capabilities offered by Defender CSPM, the “Governance Rule” feature is

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Load Testing RAG based Generative AI Applications

When developing applications for Language Models (LLMs), we usually spend a lot of time on both the development and evaluation phases to ensure the app delivers high-quality responses that are not only accurate but also safe for users. However, a great user experience with an LLM application isn’t just about the quality of responses—it’s also about

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Microsoft Sentinel: Delivering value to your SOC

In today’s dynamic landscape, threats are rapidly evolving, and digital transformation is the norm. Balancing security and business outcomes are significant challenges for security teams seeking robust solutions to safeguard their expanding attack surface while effectively managing their data strategy and costs. Microsoft Sentinel is our next-generation cloud native security information and event management (SIEM)

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