You only need two simple letters to accurately convey the big change in the tech space this year:And I also. Beyond those letters, however, lies the complex, evolving, and exciting ways in which we work, communicate, and collaborate. As you'll see, artificial intelligence is a common thread as we move through Microsoft Build,our annual flagship event for developers.
This has already been a significant year for the industry, which began in January with the announcement of the expansion of our partnership with OpenAI to accelerate AI discoveries and ensure these benefits are widely shared with the world. And in February, Microsoft announced a new AI-powered Bing search engine and Edge browser to transform the world's largest software category: search.
Since then, development has picked up at a brisk pace, with several key milestones along the way, including:
- Higher availabilityAzure OpenAI Servicewith additional support for ChatGPT and the revolutionary GPT-4 model of OpenAI.
- Kopilotifor a wide range of users, including Dynamics 365 Copilot, Microsoft 365 Copilot, and Copilot for Power Platform.
- An expansion of the new AI-powered Bingto Windows 11 system tray, mobile phone and Skype; Bing image creator for chatting; and full open platform review, with no waiting list required.
This is just the beginning of a new era of artificial intelligence. BecauseMicrosoft buildis so important During this event, we will show how AI is redefining what and how developers build, as well as how AI is changing the future of work.
Before we get to the news, let's talk about two concepts that we're discussing extensively during Microsoft Build:co-pilotsiaccessories.
Kopilot is an application that uses modern artificial intelligence and large-scale language models (LLMs) like GPT-4 to help people with complex tasks. Microsoft first introduced the concept of copilot almost two years ago with GitHub Copilot, a pair of AI developers who help developers write code, and we continue to release copilots across many of the company's core businesses.
We believe that copilot represents both a new paradigm in AI-powered software and a profound change in the way software is made, from imagining new product scenarios to user experience, architecture, services used, and ways to think about security and insurance.
Plugins are tools first introduced for ChatGPT, and more recently for Bing, that augment the capabilities of AI systems, allowing them to interact with the application programming interfaces (APIs) of other software and services to retrieve information. in real time, including business and other business. data, perform new types of calculations, and securely take action on behalf of users. Think of plugins as the link between the co-pilot and the rest of the digital world.
With that said, let's focus on the news and announcements we'll discover during the Microsoft Build.
Developing an ecosystem of AI plugins
it's microsoftadvertisingthat we will be adopting the same open plugin standard that OpenAI introduced for ChatGPT, enabling interoperability across ChatGPT and the breadth of Microsoft's co-pilot offering.
Developers can now useonea platform for building plugins that work across retail and consumer surfaces, including ChatGPT, Bing, Dynamics 365 Copilot, and Microsoft 365 Copilot.
And if you want to develop and use your own plugins with your AI application built on the Azure OpenAI service, it will be interoperable with this same standard plugin by default. This means that developers can create experiences that allow people to interact with their applications using the most natural user interface: human language.
As part of this common plugin platform,Bing is adding to its support for plugins. In addition to the previously announced additions to OpenTable and Wolfram Alpha, we will also have Expedia, Instacart, Kayak, Klarna, Redfin, and Zillow, among many others in the Bing ecosystem.
Along with the usual plug-in platform, Microsoft announces that Bing is coming to ChatGPT as the default search experience. ChatGPT will now have a built-in world-class search engine to provide more up-to-date answers with web access. Now responses are based on search and web data, and include citations so users can learn more, all right from the chat. The new experience starts today for ChatGPT Plus subscribers and will soon be available to free users simply by enabling the plugin.
Developers can now extend Microsoft 365 Copilot with plugins
We alsoadvertisingthat developers can now integrate their apps and services into Microsoft 365 Copilot with plugins.
Add-ons for Microsoft 365 Copilot include ChatGPT and Bing add-ons, as well as Teams messaging extensions and Power Platform connectors, allowing developers to leverage their existing investments. And developers will be able to easily create new plugins for Microsoft 365 Copilot with the Microsoft Teams Toolkit for Visual Studio Code and Visual Studio. Developers can also extend Microsoft 365 Copilot by inputting their data into the Microsoft Graph, contextualizing relevant and actionable information with newly announced announcements.Semantic index for copilot.
More than 50 partner plugins will be available to customers as part of the early access program, including Atlassian, Adobe, ServiceNow, Thomson Reuters, Moveworks and Mural, with thousands more available through general availability of Microsoft 365 Copilot.
A new Azure AI tool to help developers build, run, and deploy their own next-generation AI applications
Start with our newAzure AI Studio. arekeeping it simpleto integrate external data sources into the Azure OpenAI service. In addition, we are pleased to introduce youQuery flow for Azure Machine Learningto make it easier for developers to build queries while taking advantage of popular open source query orchestration solutions like Semantic Kernel.
tuAzure OpenAI Service, which brings together advanced models including ChatGPT and GPT-4, with the commercial capabilities of Azure, we are announcingadditionsallow developers to implement cutting-edge AI models using their own data; Provisioned throughput SKU offering dedicated capacity; and plugins that simplify the integration of other external data sources into the user's use of the Azure OpenAI service. We now have over 4,500 customers using the Azure OpenAI service.
We build together responsibly
At Microsoft, we're committed to building AI technology that has beneficial impact and trust, while sharing our insights and creating new tools and innovations that help developers and businesses implement responsible AI practices in their own lives. work and organizations. We're rolling out several new updates to Build, includingAzure AI content security,nova azure AI servicehelp businesses create safer online communities and environments. As part of Microsoft's commitment to building responsible AI systems, Azure AI Content Safety will be integrated into Microsoft products, including Azure OpenAI Service and Azure Machine Learning.
We're also introducing new tools for Azure Machine Learning, including extensibility.Responsive AI dashboard support for text and image data,in preview, allowing users to evaluate large models built with unstructured data during the model build, train, and/or test phase. This helps users identify model errors, fairness issues, and model explanations before deploying models, for more efficient and fair NLP and computer vision models. ANDfast flow, soon in preview, provides a simplified experience for inducing, evaluating, and tuning large language models. Users can quickly create fast workflows that connect to different language models and data sources, and assess the quality of their workflows withmeasures such as groundingto choose the best query for your use case.Prompt Flow also integrates Azure AI Content Safety to help users detect and remove harmful content right in their workflow.
In addition, Microsoft announcedpossibilities of origin of new mediaComing to Microsoft Designer and Bing Image Creator in the coming months, it will allow users to check if an image or video was generated by AI. The technology uses cryptographic methods to tag and sign AI-generated content with metadata about its origin.
introducing Microsoft Fabric, the new unified platform for analytics
Today's world is inundated with data that constantly flows from the devices we use, the apps we create, and the interactions we have. And now, as we enter a new era defined by AI, that data becomes even more important. Organization-specific empowering AI experiences require a constant supply of clean data from a well-managed, highly integrated analytics system. But the analytics systems of most organizations are a maze of specialized and unrelated services.
Tela de Microsoftis a unified analytics platform that includes data engineering, data integration, data warehousing, data science, real-time analytics, applied observability, and business intelligence, all connected to a single data repository called OneLake.
It allows users of all technical levels to experience the possibilities in a unique experience. It is integrated with the Azure OpenAI service at every layer to help users unlock the full potential of their data, allowing developers to harness the power of generative AI to find insights in their data.
SKopilot the Microsoft fabricIn any data experience, users can use a conversational language to create data flows and data pipelines, generate code and entire functions, build machine learning models, or visualize results. Customers can even create their own spoken language experiences that combine Azure OpenAI service models and their data and publish them as plugins.
Accelerating an AI-powered future through partners
Our customers benefit from collaborations with our partners, such as NVIDIA, that enable organizations to design, develop, deploy, and manage applications with the scale and security of Azure. NVIDIA will accelerate enterprise-ready generative AI with the integration of NVIDIA AI Enterprise with Azure Machine Learning. Available only on Azure, Omniverse Cloud enables organizations to aggregate data into high-performance, massive models, connect their domain-specific software tools, and enable live multi-user collaboration in factory locations. NVIDIA GPUs using the ONNX Runtime & Olive toolchain will support the implementation of AI acceleration models without the need for in-depth hardware knowledge.
New features for Microsoft Dev Box
Microsoft Dev Box, an Azure service that gives developers access to ready-to-code project-specific development frameworks that are preconfigured and centrally managed.by introducing several new featuresto improve the developer experience and increase productivity. During the review, we saw many customers experiment with Dev Box and migrated over 9,000 developers internally to the service for daily software development.
We have now added additional features and capabilities includingcustomization using config as codeI newbeginner developer imageson the Azure Marketplace that provide development teams with ready-to-use images that can be further customized for the specific needs of the development team. Additionally, developers can now manage custom environments froma specialized portal for developers, Azure Deployment Environments. Dev Box general availability will begin in July.
Discover a new home for developers in Windows 11 with Dev Home
start of developmentit will be released in Microsoft Build in preview as a new Windows experience that developers can get from the Microsoft Store.
Dev Home makes it easy to connect to GitHub and set up cloud development environments like Microsoft Dev Box and GitHub Codespaces. Dev Home is open source and fully extensible, allowing developers to enhance their experience with the customizable dashboard and tools they need to succeed.
Introducing Windows Copilot for Windows 11
Last fall, at our launch of Windows and Surface, Product Manager Panos Panay talked about the power of AI to unlock new interaction models on the PC using Windows Studio Effects and DALL-E 2 in Microsoft Designer, and in CES talked about how AI is reinventing the way people get things done on Windows.
This leads topassenger windows.
Windows will be the first PC platform to centralize AI support at launchpassenger windows. Together, with Bing Chat and first-party and third-party plugins, users can focus on bringing ideas to life, completing complex projects, and collaborating instead of wasting energy finding, launching, and working across multiple apps.
This builds on the integration we announced in Windows 11 in February that brought the new AI-powered Bing to the taskbar.
A preview of Windows Copilot will begin to be available for Windows 11 in June.
As you can see, Microsoft Build will be busy. To give you an idea of what developers will experiencean event, we expect approximately 200,000 registered attendees, with 350 sessions and over 125 hours of content over two days. In total, we will be announcing more than 50 new products and features.
For more information, be sure to check out the introductory on-demand lectures from the Microsoft Chairman and CEO.satya nadella,kevin scottiScott Guthrieon the 1st day. On Day 2, look at the opening remarks you made.Rajesh Jha and Panos Panay. Also, you can explore all the news and announcements onnews bookand read more stories and news about Microsoft Build products here:
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Hang tags:AI,Azure AI content security,Azure OpenAI Service,Bing,co-pilots,programmers,Microsoft 365 Copilot,Microsoft build,accessories,windows 11
FAQs
Which Azure tool can help you build artificial intelligence AI applications answer? ›
Use familiar tools like Jupyter and Visual Studio Code, alongside frameworks like PyTorch on Azure, TensorFlow, and Scikit-Learn.
What is Microsoft build 2023? ›Microsoft Build 2023 focused heavily on artificial intelligence and its integration across Microsoft's products and services. Microsoft introduced its AI personal assistant, Copilot, to Windows 11.
What are three Microsoft guiding principles for responsible AI? ›Microsoft AI guiding principles
At Microsoft, we've recognized six principles that we believe should guide AI development and use: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
Our approach to AI infrastructure
Today, Microsoft's AI platform, Azure AI, offers infrastructure optimized and purposely built for running large AI models that are ushering in a new era of productivity and creativity.
- Scikit Learn.
- TensorFlow.
- PyTorch.
- CNTK.
- Caffe.
- Apache MXNet.
- Keras.
- OpenNN.
Azure Cognitive Services
Transcribe audible speech into readable, searchable text. Convert text to lifelike speech for more natural interfaces. Integrate real-time speech translation into your apps. Identify and verify the people speaking based on audio.
The Microsoft Build digital experience is free and is great for those who want to access sessions on their own schedule, no matter where they are.
Is Microsoft building a metaverse? ›Microsoft is taking a hierarchical approach, incorporating their metaverse concept into their project contributions like Mesh for Teams and associating people in mixed reality through work.
What is the difference between Microsoft version and build? ›Build is a Executable file which is handed over to the tester to test the functionality of the developed part of the project. Version is the number of releases made according to the addition of the requirement of the client.
What are the 4 key principles of AI development? ›- Inclusive growth, sustainable development and well-being.
- Human-centred values and fairness.
- Transparency and explainability.
- Robustness, security and safety.
- Accountability.
What are the 4 key principles of AI? ›
This article provides a a breakdown of four of the eight principles: bias evaluation, explainability, human augmentation, and reproducibility. In a sense, AI models carry inherent biases as they are designed to discriminate towards the relevant answers.
What are the six principles of Microsoft responsible AI? ›Microsoft outlines six key principles for responsible AI: accountability, inclusiveness, reliability and safety, fairness, transparency, and privacy and security.
Is Microsoft a leader in AI? ›Microsoft Is a 'Clear Early Leader' in AI, J.P. Morgan Says
Worried about the potential for artificial-intelligence systems to outrun the human brain? Relax and invest in Microsoft.
NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer.
What is the best AI tool? ›1. Jasper. Jasper is an all-purpose AI tool designed to help users with various tasks, such as content generation and AI image generation. It's our top choice because it has refined what it means to be an AI writer more than other tools.
What is the best example of artificial intelligence application? ›- Manufacturing robots.
- Self-driving cars.
- Smart assistants.
- Healthcare management.
- Automated financial investing.
- Virtual travel booking agent.
- Social media monitoring.
- Marketing chatbots.
iAsk.Ai (i Ask AI) is an advanced free AI search engine that enables users to Ask AI any question, and receive an Instant, Accurate, and Factual Answer without ever storing individual searches.
Which statement is an example of a Microsoft responsible AI principles? ›This is an example of which Microsoft guiding principle for responsible AI? Inclusiveness: At Microsoft, we firmly believe everyone should benefit from intelligent technology, meaning it must incorporate and address a broad range of human needs and experiences.
What are the benefits of Microsoft chatbot? ›Chatbots can understand natural human language, emulate human conversation, and run simple, automated tasks. In addition, AI chatbots use predictive intelligence and analytics to learn a user's preferences and use this knowledge to provide recommendations and anticipate needs.
What is the use of AI in cognitive services? ›Cognitive Services brings AI within reach of every developer and data scientist. With leading models, a variety of use cases can be unlocked. All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate advanced decision-making into your apps.
How many people attend Microsoft Build? ›
Microsoft has decided to continue Build as a virtual event, although this year, the event will also return as an in-person gala, expected to host approximately 5,000 people. The hybrid event is free for those attending virtually and will cost $1,525 if you decide to attend personally.
How much does Microsoft developer program cost? ›How much does a developer account cost? Individual accounts cost approximately $19 USD, and company accounts cost approximately $99 USD (the exact amounts may vary depending on your country or region). This is a one-time registration fee and no renewal is required.
Is Microsoft Build virtual? ›Microsoft Build is back, and this time, it's taking place both digitally and in person from Seattle, Washington.
Is Amazon creating a metaverse? ›Amazon's Augmented Reality Try-On
Another way Amazon is using the Metaverse to provide unique shopping experiences is through its augmented reality try-on feature. This feature uses AR technology to allow customers to try on clothes and makeup virtually.
Meta is the main company developing Metaverse for users and players to be in the vast network of real-time 3D virtual worlds while maintaining identity and payment history.
Who are building the metaverse now? ›Roblox Corporation
Some of Roblox's games are virtual worlds that allow people to interact and socialize. Roblox Corporation is also working to build a metaverse where people can make avatars, games, purchase items, socialize, and use a real voice chat function.
The Microsoft Build Engine is a platform for building applications. This engine, which is also known as MSBuild, provides an XML schema for a project file that controls how the build platform processes and builds software. Visual Studio uses MSBuild, but MSBuild doesn't depend on Visual Studio.
What is the difference between software version and build? ›Build Numbers vs.
Build numbers are identifiers for a particular build -- the actual attempt to compile and package whatever it is you are building. Version numbers are identifiers for a particular result, or artifact, of a build.
In a programming context, a build is a version of a program that, as a rule, is a pre-release version and is identified by a build number rather than by a release number. Simply put, a software build is a set of executable code that is ready for use by customers.
What are the 5 stages of AI project? ›It mainly has 5 ordered stages which distribute the entire development in specific and clear steps: These are Problem Scoping, Data Acquisition, Data Exploration, Modelling and Evaluation.
What are the 5 stages of AI? ›
- Aware.
- Active.
- Operational.
- Systemic.
- Transformational.
Research in AI has focused chiefly on the following components of intelligence: learning, reasoning, problem solving, perception, and using language.
What are the 5 classic principles of AI? ›The five original principles are: Constructionist, Simultaneity, Anticipatory, Poetic, and Positive. Reality, as we know it, is a subjective vs. objective state and is socially created through language and conversations. The moment we ask a question, we begin to create a change.
What are the six stages of AI? ›- Stage 1- Rule Bases System. ...
- Stage 2- Context-awareness and Retention. ...
- Stage 3- Domain-specific aptitude. ...
- Stage 4- Reasoning systems. ...
- Stage 5- Artificial General Intelligence. ...
- Stage 6- Artificial Super Intelligence(ASI) ...
- Stage 7- Singularity and excellency.
- Human, social and environmental wellbeing. Throughout their lifecycle, AI systems should benefit individuals, society and the environment. ...
- Human-centred values. ...
- Fairness. ...
- Privacy protection and security. ...
- Reliability and safety. ...
- Transparency and explainability. ...
- Contestability. ...
- Accountability.
Microsoft recently announced its artificial intelligence (AI)-powered digital assistant named 'Copilot'. According to Microsoft CEO, Satya Nadella, the AI software has the potential to "Revolutionize how people operate fundamentally and unleash a new wave of productivity increase."
What is the name of Microsoft AI platform? ›Azure AI Platform—Artificial Intelligence. Microsoft Azure.
Is Microsoft developing AI? ›Microsoft has secretly been developing its own artificial intelligence (AI) chips to deal with the rising costs of development for in-house and OpenAI projects, per a report from The Information.
Which AI company is owned by Microsoft? ›After backing ChatGPT developer OpenAI earlier this year, Microsoft just announced a bet on a new AI company. It's called Builder.ai, and it offers artificial intelligence-powered no-code software development services.
Who leads AI at Apple? ›At the center of Apple's A.I. effort is a team led by John Giannandrea, the company's head of machine learning and A.I. strategy. Giannandrea, a former tech executive at Google, has been leading Apple's A.I.
Who is leading in AI? ›
The United States is the clear leader in AI development, with major tech companies headquartered there leading the charge. The United States has indisputably become the primary hub for artificial intelligence development, with tech giants like Google, Facebook, and Microsoft at the forefront of AI-driven research.
Who helped Bill Gates build Microsoft? ›Inspired by the January cover of Popular Electronics magazine, friends Bill Gates and Paul Allen started Microsoft – sometimes Micro-Soft, for microprocessors and software – to develop software for the Altair 8800, an early personal computer.
Who owns the most advanced AI? ›- GPT-3 (OpenAI) The first in our list is GPT-3 short for Generative Pre-trained Transformer 3 is the third series of generative language models developed by OpenAI. ...
- AlphaGo (Google DeepMind) ...
- Watson (IBM) ...
- Sophia (Hanson Robotics) ...
- Tesla Autopilot (Tesla Inc)
At a time when most digital transformations are falling short, last week's appointment of CEO Satya Nadella as chair of Microsoft's board is a shout of confidence in Nadella's leadership and in the digital transformation that he has led since 2014.
Which of the following is Azure artificial intelligence service? ›Microsoft Azure AI is a robust framework for developing AI solutions in conversational AI, machine learning, data sciences, robotics, IoT, and more. Microsoft enables you to leverage data wherever it is.
What is Azure AI Builder? ›AI Builder is a Microsoft Power Platform capability that provides AI models that are designed to optimize your business processes. AI Builder enables your business to use intelligence to automate processes and glean insights from your data in Power Apps and Power Automate.
Which part of Azure is artificial intelligence service? ›These services include: Azure cognitive services, including a variety services related to language and language processing (speech recognition, speech formation, translations), text recognition, and image and character recognition. The services can be used, for example, in various bot-based solutions.
Which domain of AI can be used to build the AI system? ›In conclusion, machine learning is an essential domain of artificial intelligence that enables computers to learn from data and make predictions or decisions. With the explosion of data and the increasing need for automation, machine learning has become an indispensable tool for a wide range of applications.
What technology performs the intelligence and analytics function in Microsoft Azure? ›Azure Synapse is a distributed system designed to perform analytics on large data. It supports massive parallel processing (MPP), which makes it suitable for running high-performance analytics.
Which three types of services are provided by Azure? ›In addition, Azure offers four different forms of cloud computing: infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS) and serverless functions.
Which Azure service contains pre built machine learning model that you can use in your own code using an API? ›
| Cloud options | What it is |
|---|---|
| Azure Machine Learning | Managed platform for machine learning |
| Azure Cognitive Services | Pre-built AI capabilities implemented through REST APIs and SDKs |
| Azure SQL Managed Instance Machine Learning Services | In-database machine learning for SQL |
Because AI Builder is built on top of Azure AI capabilities—and uses your data in Dynamics 365, Microsoft 365, and Microsoft Dataverse—you're able to train and build no-code models to enhance the intelligence of your business apps.
What is Azure build? ›Azure Pipelines is a cloud-based solution by Microsoft that automatically builds and tests code projects. It supports all major languages and project types. Azure Pipelines combines continuous integration (CI) and continuous delivery (CD) to test, build, and deliver code to any destination.
What is the difference between Azure data Scientist and Azure AI Engineer? ›A data scientist builds machine learning models on IDE's while an AI engineer builds a deployable version of the model built by data scientists and integrates these models with the end product. AI engineers are also responsible for building secure web service APIs for deploying models if required.
What is Google AI called? ›That is the Shakespearean question an Associated Press reporter sought to answer while testing out Google's artificially intelligent chatbot. The recently rolled-out bot dubbed Bard is the internet search giant's answer to the ChatGPT tool that Microsoft has been melding into its Bing search engine and other software.
What is the name of Microsoft AI? ›Microsoft recently announced its artificial intelligence (AI)-powered digital assistant named 'Copilot'. According to Microsoft CEO, Satya Nadella, the AI software has the potential to "Revolutionize how people operate fundamentally and unleash a new wave of productivity increase."
What exactly AI means? ›Artificial intelligence leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind.
What are the 3 major domains of AI? ›The domain of AI is classified into Formal tasks, Mundane tasks, and Expert tasks.
What is the most advanced AI system? ›GPT-3 was released in 2020 and is the largest and most powerful AI model to date. It has 175 billion parameters, which is more than ten times larger than its predecessor, GPT-2.