#AzureAI

[pulsaris]

Inteligência Artificial - Cooperação entre NVIDIA e Microsoft

A Microsoft e a NVIDIA anunciaram integrações importantes no campo da Inteligência Artificial generativa para empresas em todo o mundo. Saiba mais em: https://news.microsoft.com/2024/03/18/microsoft-and-nvidia-announce-major-integrations-to-accelerate-generative-ai-for-enterprises-everywhere/

______ Direitos de imagem: © Microsoft (via https://news.microsoft.com/)

[govindhtech]

Microsoft Azure OpenAI Data Zones And What’s New In Azure AI

Announcing the most recent Azure AI developments and the availability of Azure OpenAI Data Zones

Microsoft Azure AI is used by more than 60,000 clients, such as AT&T, H&R Block, Volvo, Grammarly, Harvey, Leya, and others, to propel AI transformation. The increasing use of AI in various sectors and by both small and large enterprises excites us. The latest features in Azure AI’s portfolio that offer more options and flexibility for developing and scaling AI applications are compiled in this blog. Important updates consist of:

There are Azure OpenAI Data Zones available for the US and EU that provide more extensive deployment choices.

Prompt Caching is available, Azure OpenAI Service Batch API is generally available, token generation has a 99% SLA, model prices are reduced by 50% through Provisioned Global, and lower deployment minimums are required for Provisioned Global GPT-4o models in order to scale effectively and minimize expenses.

Mistral’s Ministral 3B tiny model, Cohere Embed 3’s new healthcare industry models, and the Phi 3.5 family’s improved general availability offer more options and flexibility.

To speed up AI development, switch from GitHub Models to Azure AI model inference API and make AI app templates available.

Safely develop new enterprise-ready functionalities with AI.

United States and European Union Azure OpenAI Data Zones

Microsoft is presenting Azure OpenAI Data Zones, a new deployment option that gives businesses even more freedom and control over their residency and data privacy requirements. Data Zones, which are specifically designed for businesses in the US and the EU, enable clients to process and store their data inside predetermined geographic bounds, guaranteeing adherence to local data residency regulations while preserving peak performance. Data Zones, which cover several regions within these areas, provide a balance between the control of regional deployments and the cost-effectiveness of global deployments, facilitating enterprise management of AI applications without compromising speed or security.

By providing a solution that enables higher throughput and faster access to the newest AI models, including the most recent innovation from Azure OpenAI Service, this new feature streamlines the frequently difficult chore of maintaining data residency. Now, businesses can safely scale their AI solutions while adhering to strict data residency regulations by utilizing Azure’s strong infrastructure. Data Zones will soon be available for Provisioned and Standard (PayGo).

Updates for Azure OpenAI Services

Microsoft declared the Azure OpenAI Batch API for Global deployments to be generally available earlier this month. Using a separate quota, a 24-hour return time, and 50% less cost than Standard Global, developers can more effectively handle large-scale and high-volume processing activities using Azure OpenAI Batch API. One McKesson company, Ontada, is already using Batch API to process massive amounts of patient data from US oncology hospitals in an economical and efficient manner.

Additionally, it has enabled Prompt Caching on Azure OpenAI Service for the o1-preview, o1-mini, GPT-4o, and GPT-4o-mini models. By reusing recently viewed input tokens, developers can save expenses and latency with Prompt Caching. Applications that frequently employ the same context, like code editing or lengthy chatbot interactions, will find this capability especially helpful. Faster processing times and a 50% discount on cached input tokens for Standard offerings are provided by Prompt Caching.

It is reducing the basic deployment quantity for GPT-4o models to 15 Provisioned Throughput Units (PTUs) with further increments of 5 PTUs for the Provisioned Global deployment offering. To increase access to Azure OpenAI Service, it is also reducing the cost of Provisioned Global Hourly by 50%.

Microsoft is also launching a service level agreement (SLA) for token generation with a 99% latency. Especially at high volumes, this latency SLA guarantees that tokens are issued more quickly and reliably.

Customization and new models

With the addition of new models to the model library, it keeps broadening the selection of models. This month, it has several new models available, including models from Mistral and Cohere as well as models from the healthcare sector. Additionally, it is revealing that the Phi-3.5 family of models can be customized.

Advanced multimodal medical imaging models, such as MedImageInsight for image analysis, MedImageParse for image segmentation across imaging modalities, and CXRReportGen for detailed structured report generation, are part of the healthcare sector models. These models, which were created in partnership with Microsoft Research and industry partners, are intended to be adjusted and tailored by healthcare institutions to suit particular requirements, lowering the amount of data and processing power normally required to create such models from the ground up.

Mistral AI’s Ministral 3B: Ministral 3B, which emphasizes knowledge, commonsense thinking, function-calling, and efficiency, is a notable breakthrough in the sub-10B category. These models are designed for a wide range of applications, from creating specialized task workers to coordinating agentic processes, and they support up to 128k context length. Ministral 3B is a useful bridge for function-calling in multi-step agentic workflows when combined with bigger language models such as Mistral Large.

Cohere Embed 3: Embed 3, the multimodal AI search model that leads the market, is now accessible in the Azure AI Model Catalog! By enabling businesses to explore and analyze their massive volumes of data in any format, Embed 3’s capability to create embeddings from both text and images unlocks substantial value. This update transforms how companies navigate through complex materials like reports, product catalogs, and design files, positioning Embed 3 as the most potent and capable multimodal embedding model available.

Fine-tuning the Phi 3.5 family’s general availability, including Phi-3.5-mini and Phi-3.5-MoE: Phi family models can be easily customized to enhance basic model performance in a range of situations, including learning a new task or skill or improving response quality and consistency. When compared to models of the same size or next size up, Phi-3.5 models provide a more affordable and sustainable option because to their modest computing footprint and interoperability with cloud and edge. The Phi-3.5 family is already being adopted for non-connected scenarios and edge reasoning use cases. Today, developers may refine Phi-3.5-mini and Phi-3.5-MoE by utilizing serverless endpoints and the model as a platform offering.

Development of AI apps

Azure AI is being developed as an open, modular platform to enable developers to swiftly go from concept to code to cloud. Through the Azure AI model inference API, developers can now easily explore and access Azure AI models through the GitHub Marketplace. When developers are ready to customize and deploy, they can easily set up and log in to their Azure account to scale from free token usage to paid endpoints with enterprise-level security and monitoring without making any changes to the code. Developers can test out various models and compare model performance in the playground for free (usage limits apply).

In order to expedite the development of AI apps, it has unveiled AI App Templates. These templates are available to developers in Visual Studio, VS Code, and GitHub Codespaces. With a range of models, frameworks, languages, and solutions from vendors including Arize, LangChain, LlamaIndex, and Pinecone, the templates enable versatility. Developers can start with components or launch entire programs, allocating resources across Azure and partner services.

With these enhancements, developers can confidently scale AI systems, select the deployment choice that best suits their needs, and get started in their preferred environment immediately.

New tools to create enterprise-ready, safe AI applications

At Microsoft, its goal is to assist clients in using and developing trustworthy AI that is, AI that is private, secure, and safe. It is presenting two new features today that will help you confidently develop and grow AI solutions.

More than 1,700 models are available for developers to examine, assess, modify, and implement in the Azure AI model library. Although this wide range of options fosters creativity and adaptability, it can also pose serious difficulties for businesses that wish to make sure all implemented models meet their internal guidelines, security requirements, and legal requirements. Model selection and governance procedures can now be made simpler for Azure AI administrators by using Azure rules to pre-approve specific models for deployment from the Azure AI model catalog.

A comprehensive guide makes it easier to create custom policies for Azure OpenAI Service and other AI services, while pre-built policies for Models-as-a-Service (MaaS) and Models-as-a-Platform (MaaP) deployments are also included. When combined, these guidelines offer comprehensive protection for establishing an approved model list and implementing it throughout Azure AI Studio and Azure Machine Learning.

Developers may require access to on-premises resources or even resources not supported by private endpoints but nonetheless present in their custom Azure virtual network (VNET) in order to create models and applications. A load balancer called Application Gateway bases its routing choices on an HTTPS request’s URL. Using the HTTP or HTTPs protocol, Application Gateway will enable a private connection from the managed VNET to any resources.

It has been confirmed to enable private connections to Snowflake Database, Jfrog Artifactory, and Private APIs as of right now. Developers may access on-premises or bespoke VNET resources for their training, fine-tuning, and inferencing scenarios without sacrificing their security posture using Application Gateway in Azure Machine Learning and Azure AI Studio is currently available for public preview.

Read more on Govindhtech.com

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Microsoft Fabric Training Online Free Demo

✍️Join Now: https://meet.goto.com/330666549 👉Attend Online #freedemo on #MicrosoftFabric by Mr. Sai. 📅Demo on 5th November @ 5:30 PM (IST) 📲Contact us: +91 9989971070. 🌐Visit Blog: https://visualpathblogs.com/ 📩Join us on WhatsApp: https://www.whatsapp.com/catalog/919989971070 🌐Visit: https://www.visualpath.in/online-microsoft-fabric-training.html

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Azure AI Translate everything you need to know

Struggling to manage multilingual communication in your organization? Discover how Azure AI Translator can revolutionize your IT operations and bridge the language gap effortlessly. This cloud-based service supports 90+ languages, offering real-time text and document translations with advanced neural machine translation technology.

Why Read This Blog?

Seamless integration with your IT systems

Easy-to-use REST API for instant scalability

Cost-effective solutions with up to 2 million free characters per month

Enhance global collaboration and efficiency

Learn how Azure AI Translator can power up your global operations.

Read Now: https://www.ecfdata.com/azure-ai-translate-everything-you-need-to-know/

[esgsolutions]

Optimize Your IT Infrastructure with Acumant’s Managed Services

Acumant delivers scalable, secure, and efficient Managed IT Services that empower businesses to focus on their core operations. From cloud management to network security, we provide end-to-end solutions. Discover how Acumant can enhance your IT systems: Acumant Managed Services.

[geethaasrinivasan]

Azure AI Fundamentals ai-900 part4 practice question

[kittu800]

Microsoft Fabric: The Future of Enterprise Analytics.

Mode of Training: Online

Contact us: +91 9989971070.

Join us on WhatsApp: https://bit.ly/47eayBz

Watch Demo Video: https://youtu.be/Fpoe2YF_uW8?si=hTCKsNDgcfM-RoTh

Visit: https://visualpath.in/microsoft-fabric-online-training-hyderabad.html

To subscribe to the Visualpath channel & get regular updates on further courses: https://www.youtube.com/c/Visualpath

[jjbizconsult]

"Unleashing Innovation: NVIDIA H100 GPUs and Quantum-2 InfiniBand on Microsoft Azure"

[enoumen]

Machine Learning For Dummies  on iOs:  https://apps.apple.com/us/app/machine-learning-for-dummies-p/id1610947211 Windows: https://www.microsoft.com/en-ca/p/machine-learning-for-dummies-ml-ai-ops-on-aws-azure-gcp/9p6f030tb0mt Web/Android: https://www.amazon.com/gp/product/B09TZ4H8V6 #MachineLearning #AI #ArtificialIntelligence #ML #MachineLearningForDummies #MLOPS #NLP #ComputerVision #AWSMachineLEarning #AzureAI #GCPML https://www.instagram.com/p/CejSHqnp0-3/?igshid=NGJjMDIxMWI=

[datanewoil]

Azure Functions for Python just went to GA. And it works great with Cognitive Search!!

[govindhtech]

GitHub Copilot for Azure: New Tools Help AI App Development

GitHub Copilot for Azure

Azure at GitHub Universe: New resources to make developing AI apps easier

Microsoft Azure is to be part of this shift as a development firm that produces for other developers. Many of its employees will be at GitHub Universe to share their experiences and learn from others about how artificial intelligence is changing the way we work. I’m thrilled to share new features and resources incorporating Microsoft Azure AI services into your preferred development tools.

Microsoft’s AI-powered, end-to-end development platform, built on a solid community, seamlessly integrates Visual Studio (VS) Code, GitHub, and Azure to assist you in transforming your apps with AI. For more information, continue reading.

What is GitHub Copilot?

GitHub Copilot is an AI-powered coding assistant that makes it easier and faster for developers to create code. As developers type, it offers contextual aid by suggesting code, which could be a line completion or an entirely new block of code.

Code creation

Full lines and functions can be generated using Copilot. You can write code and have Copilot finish it or describe it in normal language.

Fixing errors

Copilot can remedy code or terminal errors.

Learning

Copilot can help you master a new programming language, framework, or code base.

Documentation

Copilot generates documentation comments.

A large language model (LLM) generates fresh content for Copilot by analyzing and processing massive volumes of data. It writes JavaScript, Python, Ruby, and TypeScript.

Copilot works in your IDE or command line. It’s also available on GitHub.com for enterprise users.

GitHub Copilot for Azure, your expert, is now available in preview

GitHub Copilot for Azure expands on the Copilot Chat features in Visual Studio Code to assist you in managing resources and deploying apps by connecting with programs you currently use, such as GitHub and Visual Studio Code. Without revealing your code, you can receive tailored instructions to learn about services and tools by using “@ azure.” Using Azure Developer CLI (azd) templates to provision and deploy Azure resources helps speed up and simplify development. Additionally, GitHub Copilot for Azure assists you with troubleshooting and answering inquiries regarding expenses and resources, allowing you to devote your time to your preferred activities while GitHub Copilot for Azure handles the rest.

Use AI App Templates to deploy in as little as five minutes

AI App Templates let you get started more quickly and streamline the review and production process, which speeds up your development. AI App Templates can be used directly in the development environment of your choice, including Visual Studio, VS Code, and GitHub Codespaces. Based on your AI use case or situation, GitHub Copilot for Azure can even suggest particular templates for you.

The templates, which offer a range of models, frameworks, programming languages, and solutions from well-known AI toolchain suppliers including Arize, LangChain, LlamaIndex, and Pinecone, most significantly give freedom and choice. You can start with app components and provision resources across Azure and partner services, or you can deploy entire apps at once. Additionally, the templates include suggestions for enhancing security, such as utilizing keyless authentication flows and Managed Identity.

Personalize and expand your AI applications

GitHub announced today that GitHub Models is currently in preview, bringing Azure AI’s top model selection straight to GitHub, enabling you to swiftly find, learn, and experiment with a variety of the newest, most sophisticated AI models. Expanding on that theme, you can now explore and utilize Azure AI models directly through GitHub Marketplace with the Azure AI model inference API. For free (use limits apply), compare model performance, experiment, and mix and match different models, including sophisticated proprietary and open models that serve a wide range of activities.

You can easily set up and connect in to your Azure account to grow from free token usage to premium endpoints with enterprise-level security and monitoring in production after you’ve chosen your model and are prepared to configure and deploy.

Use the GitHub Copilot upgrade assistant for Java to streamline Java Runtime updates

It can take a lot of time to keep your Java apps updated. The GitHub Copilot Java upgrade helper provides a method that uses artificial intelligence (AI) to streamline this procedure and enable you to update your Java apps with less manual labor. The GitHub Copilot upgrade assistant for Java, which is integrated into well-known programs like Visual Studio Code, creates an upgrade plan and walks you through the process of upgrading from an older Java runtime to a more recent version with optional dependencies and frameworks like JUnit and Spring Boot.

Using a dynamic build or repair loop, the assistant automatically resolves problems during the upgrade, leaving you to handle any remaining mistakes and apply changes as needed. By granting you complete control and enabling you to take advantage of improved AI automation at every stage, it guarantees transparency by giving you access to logs, code modifications, outputs, and information. After the upgrade is finished, you can quickly go over the comprehensive summary and check all code changes, which makes the process seamless and effective and frees you up to concentrate on creativity rather than tedious maintenance.

Use CI/CD workflows to scale AI apps with Azure AI evaluation and online A/B testing

You must be able to conduct A/B testing at scale and regularly assess your AI applications given trade-offs between cost, risk, and business impact. GitHub Actions, which can be easily included into GitHub’s current CI/CD workflows, are greatly streamlining this procedure. After changes are committed, you can use the Azure AI Evaluation SDK to compute metrics like coherence and fluency and perform automatic evaluation in your CI workflows. After a successful deployment, CD workflows automatically generate and analyze A/B tests using both custom and off-the-shelf AI model metrics. You can also interact with a GitHub Copilot for Azure plugin along the route, which facilitates testing, generates analytics, informs choices, and more.

You can trust Azure with your business, just as we trust it with ours

The platform you select is important as you investigate new AI possibilities for your company. Currently, 95% of Fortune 500 businesses rely on Azure for their operations. Azure is also used by its company to run programs like Dynamics 365, Bing, Copilots, Microsoft 365, and others. You have access to the same resources and tools that it use to create and manage Microsoft. Building with AI on Azure is made easier by its interaction with GitHub and Visual Studio Code. Additionally, Azure provides a dependable and secure basis for your AI projects with over 60 data center regions worldwide and a committed security staff. These are all excellent reasons to use Azure and GitHub to develop your next AI application.

GitHub Copilot pricing

There are various GitHub Copilot pricing tiers for people, businesses, and organizations:

Copilot individual

Individual developers, freelancers, students, and educators can pay $10 a month or $100 annually. It is free for verified students, instructors, and maintainers of well-known open source projects.

Business copilot

$19 per user per month for companies looking to enhance developer experience, code quality, and engineering velocity.

Your billing cycle can be switched from monthly to annual at any moment, or the other way around. The modification will become effective at the beginning of your subsequent payment cycle.

Read more on Govindhtech.com

[trendingitcourses]

Microsoft Fabric Course | Microsoft Fabric Training

#Visualpath provides a top-rated online #MicrosoftFabric Course, acknowledged globally. Advance your career in data analytics, cloud computing, and business intelligence by participating in our #Microsoft #Fabric Training. This program will equip you with insights into various components of Microsoft Fabric, including Power BI, Azure Synapse Analytics, and Azure Data Factory. To schedule a free demo, please reach out to us at +91-9989971070. Visit Blog: https://visualpathblogs.com/ WhatsApp: https://www.whatsapp.com/catalog/919989971070 Visit: https://www.visualpath.in/online-microsoft-fabric-training.html

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Elevate Your Educational Institution with Managed IT Services from ECF Data Solutions!

At ECF Data Solutions, we specialize in tailored IT solutions designed specifically for the education sector. Safeguard student data and ensure seamless access to essential teaching and learning tools with our Managed IT Services. Let us handle the tech complexities while you prioritize your students' growth and success. Discover how ECF Services can assist you in optimizing your educational management:

Cloud management AI for Education Tools Managed IT Services Powered by Azure AI, our innovative solutions revolutionize education by providing personalized insights, optimizing administrative processes, and fostering inclusivity. Experience the transformative power of Azure AI Translator for language translation, Azure OpenAI Service for virtual learning assistants, and Azure AI Content Safety for content filtering. Learn more about our comprehensive IT solutions and propel your institution towards excellence with ECF Data Solutions!

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[phungthaihy]

R Support in Azure Machine Learning http://ehelpdesk.tk/wp-content/uploads/2020/02/logo-header.png [ad_1] In this episode we will discuss ... #androiddevelopment #angular #azureai #azuremachinelearning #azureml #azuremlr #azuremlrsdk #c #css #dataanalysis #datascience #deeplearning #developer #development #docker #iosdevelopment #java #javascript #machinelearning #microsoft #microsoftai #node.js #python #react #unity #webdevelopment

[hiramfleitas]

🌎 AI Bootcamp - Tomorrow in Fort Lauderdale!

Join me tomorrow at the Microsoft Fort Lauderdale office or at a location near you. #GlobalAIBootcamp 🤖 https://globalai.community/global-ai-bootcamp #SQLServer #MachineLearning #AzureAI

I’ll be speaking at Global AI Bootcamp this weekend in the Microsoft Fort Lauderdale office. My session will be at 1:30 pm in Room 3, tomorrow, Saturday. It’s free to attend.

I am very excited to cover new material on Spark and Azure Data Studio Machine Learning Services extension which is soon to-be-announced. I hope you get the chance to join me and come the event.

Repo

https://github.com/hflei…

[kittu800]

Microsoft Fabric Online Training New Batch

Join Now: https://meet.goto.com/252420005

Attend Online New Batch On Microsoft Fabric by Mr.Viraj Pawar.

Batch on: 29th February @ 8:00 AM (IST).

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Join us on WhatsApp: https://www.whatsapp.com/catalog/919989971070/

Visit: https://visualpath.in/microsoft-fabric-online-training-hyderabad.html