Artificial Intelligence

Evaluate Small Language Models for RAG using Azure Prompt Flow (LLama3 vs Phi3)

Introduction: Recently, small language models have made significant progress in terms of quality and context size. These advancements have enabled new possibilities, making it increasingly viable to leverage these models for retrieval-augmented generation (RAG) use cases. Particularly in scenarios where cost sensitivity is a key consideration, small language models offer an attractive alternative.   This post […]

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Securing your API Management service from day one with Defender for APIs

Introduction We are excited to announce that you can now secure your Azure API Management (APIM) managed APIs from day one with Defender for APIs. This allows you to enable security as soon as you create your APIM service within the Azure portal. This means that security for APIs is no longer an afterthought and

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Choosing the Right Tool: A Comparative analysis of the Assistants API & Chat Completions API

Intro  In the evolving landscape of artificial intelligence (AI), the rate of innovation is producing many new technologies and frameworks to aid in the development of AI solutions. OpenAI is a leader in this space and provides different building blocks. Among its array of offerings, the Assistants API and the Chat Completions API, could be

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The LLM Latency Guidebook: Optimizing Response Times for GenAI Applications

Co-authors: Priya Kedia, Julian Lee, Manoranjan Rajguru, Shikha Agrawal, Michael Tremeer Contributors: Ranjani Mani, Sumit Pokhariyal, Sydnee Mayers Generative AI applications are transforming how we do business today, creating new, engaging ways for customers to engage with applications. However, these new LLM models require massive amounts of compute to run, and unoptimized applications can run

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SuperRAG – How to achieve higher accuracy with Retrieval Augmented Generation

One of the most common use cases for generative AI is Retrieval Augmented Generation (RAG).  RAG enables you to inform the LLM about your business data without the need to retrain it.  It happens in 3 basic steps:  Retrieve relevant documents based on a query or chat message from your user.  This is usually done

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How implementing a trust fabric strengthens identity and network

The identity security landscape is transforming rapidly. Every digital experience and interaction is an opportunity for people to connect, share, and collaborate. But first, we need to know we can trust those digital experiences and interactions. Customers note a massive rise in the sheer number of identities they need to enable, connect, and protect. These

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Vulnerability Assessment with Defender for Servers, Powered by Defender Vulnerability Management

 Microsoft Defender for Cloud is a comprehensive multicloud application protection platform (CNAPP) meticulously designed to safeguard your cloud-based applications from every angle, covering the entire journey from code to cloud. A pivotal aspect of cloud security involves the continuous monitoring and management of emerging vulnerabilities across your cloud workloads. By implementing strong vulnerability management practices,

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Secure your AI applications from code to runtime with Microsoft Defender for Cloud

Microsoft Defender for Cloud becomes the first CNAPP to protect enterprise-built AI applications across the application lifecycle The AI transformation has accelerated with the introduction of generative AI (GenAI), unlocking a wide range of innovations with intelligent applications. Organizations are choosing to develop new GenAI applications and embed AI into existing applications to increase business

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Send data to Microsoft Sentinel using Cribl Stream

Microsoft Sentinel is a modern cloud-native SIEM, enriched by AI and threat intelligence empowering security teams with an easy and powerful security operations solution. Microsoft Sentinel offers a comprehensive toolset to collect, correlate, and analyze large volumes of security data across multicloud, multiplatform environments to detect and mitigate cyberthreats at scale. Microsoft Sentinel has over

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New capabilities to help you secure your AI transformation

AI is transforming our world, unlocking new possibilities to enhance human abilities and to extend opportunities globally. At the same time, we are also facing an unprecedented threat landscape with the speed, scale, and sophistication of attacks increasing rapidly. To meet these challenges, we must ensure that AI is built, deployed, and used responsibly with

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