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Introducing Phi-3, the most capable and cost-effective SLMs available, developed by Microsoft.

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Azure AI

Where innovators are creating the future
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BENEFITS

Lead your market with multimodal and generative AI

Find your best models

Innovate fast with the latest open and multimodal models and use evaluation tools to select what’s best for your use case.

Differentiate with your data

Develop contextual, media-rich interactions grounded in diverse data types and retrieval augmented generation (RAG).

Deliver AI safely

Bring AI experiences to market with confidence, utilizing ​built-in content safety tools ​that proactively mitigate risk.

Realize repeatable value

Empower developer agility and collaboration with large language model operations to streamline management of the AI lifecycle.
Overview

Get to know the Azure AI portfolio

  • Get started fast on a unified AI development platform for evaluating models and deploying generative AI solutions. GitHub integration and built-in content safety make the path to production seamless.
  • Tap into the power of generative AI and multimodality with turnkey, enterprise-caliber APIs, including Azure OpenAI Service and Azure AI Search for retrieval augmented generation (RAG).
  • Accelerate machine learning projects with complete lifecycle management for data preparation, model development, and training, along with enterprise support for PyTorch and TensorFlow.
  • Build your experiences on an end-to-end AI platform with secure, scalable infrastructure trusted by AI leaders including OpenAI, Nvidia, and the Fortune 500.
PRODUCTS AND FEATURES

Innovate with AI capabilities trusted by organizations worldwide

  1.
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Phi models

Leverage the surprising power of small language models. The new Phi-3 models released by Microsoft are now available via models as a service (MaaS) in Azure AI Studio.
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Azure OpenAI Service

Build media-rich experiences with GPT-4o and GPT-4 Turbo for multimodal interactions that understand video, images, and audio.
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Azure AI Search

Turn any data source into context-aware interactions with all-in-one retrieval augmented generation (RAG) for hybrid, vector, and semantic ranking strategies.
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Azure AI Content Safety

Deliver secure and trustworthy solutions by safeguarding every layer of mitigation with built-in tools that put responsible AI principles into practice.
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Azure Speech Analytics

Azure AI Speech analytics

Gain conversational insights from audio and video data with a new generative AI-powered service that combines Azure AI Speech, Azure OpenAI Service and Azure AI Language to enable post-call analytics, video captioning and more.
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Azure Machine Learning prompt flow

Simplify how you manage your AI solutions with agile prompt flows for large language model operations throughout the full lifecycle.
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Build your own copilots with Azure AI

Turn limitless AI possibilities into practical impact by bringing copilot assistance to your apps, fueled by your data.
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CUSTOMER STORIES

See how customers are innovating with Azure AI

  1. Simens logo
  2. Perplexity logo.
  3. PWC logo
  4. AT&T logo
  5. Heineken logo
  6. Marks & Spensers logo
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Real-time problem solving

 “With AI, we’re helping people report problems in their native language and automatically translate it to a common language. This is a game-changer.” 
Joe Bohman, Executive Vice President, Siemens Digital Industries Software
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Force-multiplying efficiency 

“Trying out large language models available with Azure OpenAI Service was easy, with just a few clicks to get going. That’s an important differentiator of Azure AI Studio: we had our first prototype in hours. We had more time to try more things, even with our minimal headcount.”
Denis Yarats, Chief Technology Officer and Cofounder, Perplexity.AI 
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Human-centered experiences

“Bringing AI technologies together in one platform, with one core solution provider at its heart, will generate a complete step change in how our people and clients experience our audit services.” 
James Chalmers, Global Assurance Leader, PwC 
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AT&T logo

Game-changing automation

“Using Azure OpenAI Service to help automate some of these more common tasks will be an important change to the way we operate. There will be meaningful time and cost savings.” 
Jeremy Legg, Chief Technology Officer, AT&T 
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Heineken logo

Transformative employee engagement

“With Azure OpenAI Service, we get the innovation of OpenAI with the scalability, flexibility, and high security of the Azure platform.” 
Mark Sleijpen, Manager Global Portfolio Digital Technology,  HEINEKEN 
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Marks & Spensers logo

Personalization at scale

“The solution has increased the robustness of the machine learning system and made our system more aligned with other environments.” 
Luis Arnedo Martinez, Machine Learning Platform Product Manager,  Marks & Spencer
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View all AI customer stories
News and announcements

Get the latest in AI news from Azure

  1.
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Cohere and Microsoft 

Command R+ is now in the Azure AI model catalog as part of the models as a service (MaaS) offering.
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More scalability and performance

Increased storage capacity and vector index size come to Azure AI Search at no additional cost.
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New tools for trustworthy AI apps

Prompt Shields, groundedness detection, and more are now available in Azure AI Studio.
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Mistral AI and Microsoft 

Learn about the new multi-year partnership, including the availability of Mistral Large.
Read the blog
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Operational excellence  

Dive into this four-part series about large language model operations and the maturity model framework.
Read the blog 
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Buy, build, or both?  

Learn how to choose the right copilot approach for your AI transformation.
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Resources

Explore more AI resources

  1.
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AI in a Minute

 What is generative AI?

Get up to speed on generative AI, large language models, prompt engineering and more in a fun, simple way.
Watch the video series
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Microsoft Mechanics

How to start building copilots 

Dive into Azure AI Studio with Seth Juarez and learn how to build, test, deploy, and monitor solutions at scale.
Watch the video
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AI Show

Best retrieval strategies for generative AI

Assess different modes of retrieval and learn about hybrid and reranking strategies you can achieve right out of the box.
Watch the video
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Online courses

AI Learning Hub

Choose a course
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Self-assessment

The Microsoft LLMOps maturity model

Receive curated and personalized guidance that fits your specific LLMOps needs through a short questionnaire.
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  1. [1]

    Gartner, Magic Quadrant for Cloud AI Developer Services, Jim Scheibmeir, Arun Batchu, Mike Fang, April 29, 2024.                                                                                   

    Gartner is a registered trademark and service mark and Magic Quadrant is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

    Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

  2. [2]

    A commissioned study conducted by Forrester Consulting, The Total Economic Impact™ of Microsoft Azure AI, April 2023.