Author: ultroni1

Microsoft 365 Copilot Chat includes the functionality to interact with Pages to take Copilot Chat-generated content and put it in a dynamic, persistent canvas where users can edit it, add to it, share it, and work on it with others in real time.

Adding a Copilot Chat response to a page is simple. Below the Copilot Chat response is an option to either add that response to a new page by choosing Edit in Pages or to add that response to an existing page by choosing Add to recent page.

When adding the Copilot Chat response to a page, it opens next to the chat and copies the response with its formatting, ready to edit.

Continue the conversation with Copilot Chat and opt to add each new response to either the same page or another page. Meanwhile, everything on the page is editable either alongside the Copilot Chat or in the Microsoft Loop app. Changes made to pages are saved automatically and indefinitely unless deleted.

When a page is shared with a team or class, everyone can work collaboratively on the contents in real time. Everyone can see and edit the copied Copilot Chat responses and any other content.

To return to a previously created page, either open the page in the Microsoft Loop app or, if the page was created recently, find it in the Copilot Chat interface by selecting the Pages icon alongside the New chat option by the profile picture.

Example use of Copilot Chat with Pages

You’re working together with colleagues to plan a trip to the local science museum between the months of March to May with a class of 30 students aged 15-16. You write a prompt in Copilot Chat to generate a risk assessment for the trip in tabular format so it can be easily edited in a Microsoft Loop page. The intention is to assign responsibility for various actions to different staff members attending the trip. After Copilot Chat generates a response, select Edit in Pages and share the page with relevant school staff to edit the page together.

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Educators can take full advantage of the power of Copilot Chat by crafting good prompts. When writing prompts, consider the following tips.

• Define clear objectives. Determine the main goal of the prompt and the role AI should take. Whether you’re creating a syllabus, drafting a quiz, or revising lesson content, have a clear vision of the end goal.
• Be specific. Copilot Chat experiences work best when you give detailed instructions. Specify the grade level, subject, topic, or any other relevant parameters. For example, “secondary math quiz on algebraic expressions” is clearer than “math quiz.”
• Structure the prompt. Break complex tasks into smaller parts. Instead of asking the AI to draft an entire lesson, request an outline, then delve into specific sections.
• Iterate and refine. The first response from AI might not always align perfectly with expectations. Don’t hesitate to rephrase the prompt, ask follow-up questions, or provide more context based on the initial output.
• Combine expertise. Use AI as a tool to enhance and streamline work, but remember to overlay its suggestions with your educational expertise. AI can suggest content, but the educator decides the best way to edit and present it to their audience.

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cators can access the full experience of Microsoft Copilot Chat with enterprise data protection in several ways:

• Go directly to copilot.cloud microsoft
• From Microsoft Edge browser, launch Copilot in Edge
• Download the Microsoft 365 Copilot app

Sign in with your Microsoft account for Work or School to get the full Copilot Chat experience. If you don’t sign in, conversations are limited and don’t include access to all features.

To begin, enter a question to start the conversation.

Practice with Copilot Chat

 Tip

Work with the sample prompts to experience Copilot Chat or write unique prompts with similar parameters to fit your needs.

 Important

We recommend using the Microsoft Edge browser during your practice so you can experience all the features explored in this module.

Explore Copilot Chat features

For this activity, experiment with the various features in Copilot Chat. Some of these features might be temporarily unavailable due to app updates. Refer to the frequently asked questions about Copilot Chat to learn more.

• Rate: Rate the quality of the response.
• Copy: Select the Copy button and copy the response to another location.
• Share: Select the Share button and choose a way to share the response with someone else.
• Read aloud: Listen to the response read aloud through your device’s speakers.
• Chat history: Open the chat history to view previous chats from the same account.

Copilot Chat can be used for more than research. Educators can also use Copilot Chat in Edge to access chat features.

Practice with samples

 Tip

Work through the following sample prompts to experience Copilot Chat in Edge or use other websites or PDFs with similar parameters to fit your needs. If you experience any issues with this feature, you might need to change your Edge browser settings. You can customize your permissions in Microsoft Edge Settings > Sidebar > Copilot Chat.

Chat with Copilot Chat in the Edge sidebar

1. Open the Computational thinking PDF in Microsoft Edge and then open Copilot Chat by choosing the Copilot Chat icon in the Edge toolbar. Copilot Chat opens as an app in the Edge sidebar.
2. If the option is available, select Generate page summary. If the option isn’t available, enter:Summarize the main points of this page.
3. Once Copilot Chat creates the summary, follow up with another question.Thanks! Can you create a 5-question quiz related to this document?

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Artificial intelligence (AI) is already a part of our lives in many ways. We often rely on it for many things, including:

• Personalized recommendations on recipes, entertainment, news, purchases, and more
• Tailored assistance on spelling, grammar, or writing mechanics
• Targeted financial advice from online banking institutions
• Individualized health plans
• Predictive analysis and real-time routing recommendations

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Microsoft integrates AI into its operations with a strong emphasis on ethics and responsibility. The guiding principles of this approach are:

• Fairness. Microsoft aims to eliminate biases, ensuring equal treatment for all users.
• Reliability & Safety. Rigorous testing ensures Microsoft’s AI performs consistently and safely.
• Privacy & Security. Your data is protected. Both in training and post-deployment phases, Microsoft places a premium on safeguarding user details.
• Inclusiveness. AI tools are crafted to be accessible and beneficial for everyone, regardless of physical ability, gender, or ethnicity.
• Transparency. Microsoft believes in keeping users informed about how its AI systems work and their intended purposes.
• Accountability. Ethical and legal standards are at the forefront, with AI developers and designers held accountable for their creations.

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Let’s explore some of the foundational elements that help power Microsoft 365 Copilot. By delving into these core components, you can gain a clearer understanding of the intricate processes that enable Copilot to offer its insightful recommendations and suggestions.

Large language models

Large language models (LLMs) represent a class of artificial intelligence models that specialize in understanding and generating human-like text. The “large” in LLM signifies both the size of the models in terms of the number of parameters they encompass, and the vast volume of data on which they’re trained. LLMs, including models like ChatGPT, are a type of generative AI. Instead of merely predicting or classifying, generative AI, like LLMs, can produce entirely new content. When applied to text, LLMs can generate contextually relevant and syntactically correct responses based on the provided prompts.

In the context of Microsoft 365 Copilot, LLMs are the engine that drives Microsoft 365 Copilot’s capabilities. Microsoft’s Azure OpenAI Service privately hosts these models, which Microsoft 365 Copilot uses to understand user inputs and generate relevant responses. Through the careful application of these models, Microsoft 365 Copilot helps you navigate your work more effectively, while ensuring privacy and data integrity.

Microsoft 365 keeps your data logically isolated by tenant. This design, together with encryption, ensures privacy while processing and at rest.

Natural language processing

Natural language processing (NLP) is a pivotal AI technology that helps machines understand, interpret, and respond to human language in a way that’s meaningful. In essence, NLP is the technology behind Copilot’s ability to read, comprehend, and generate text similar to how humans would. Some of the components involved are:

• Tokenization. Simplifies complex paragraphs by breaking down text into smaller chunks, like words or phrases.
• Semantic Analysis. Helps Copilot understand the underlying meaning or context.
• Sentiment Analysis. Assess the mood or emotion behind a text, Copilot can understand user intent more accurately.
• Language Translation. Aids in multilingual tasks, allowing Copilot to assist users across different languages.

NLP is integral to Microsoft 365 Copilot. It bridges the gap between human language and machine understanding. This technology ensures that when you ask Copilot something, it understands and responds effectively.

Microsoft Graph

Microsoft Graph serves as the connective tissue that integrates all your Microsoft 365 services and data. Microsoft 365 Copilot applies Microsoft Graph to synthesize and search content from multiple sources within your tenant. The Microsoft Graph API brings more context from user signals into the prompt, such as information from emails, chats, documents, and meetings. This information includes data from services like Outlook, OneDrive, SharePoint, Teams, and more.

Microsoft Graph brings this information together so that users don’t need to navigate away or switch apps. It enables Microsoft 365 Copilot to bring the relevant information to you. When doing so, Microsoft 365 Copilot takes into account Microsoft 365 user permissions, data security, and compliance policies. It only generates responses based on the information the user has permission to access.

 Important

Prompts, responses, and data accessed through Microsoft Graph aren’t used to train foundation LLMs, including those used by Microsoft 365 Copilot.

Microsoft 365 apps

Apps such as Word, Excel, PowerPoint, Outlook, Teams, Loop, and any newly integrated apps operate with Copilot to support users in the context of their work. For example, Copilot in Word specifically assists users in the process of creating, comprehending, and editing documents. In a similar way, Copilot in the other apps helps users in the context of their work within those apps.

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At its core, Microsoft 365 Copilot isn’t just another feature—it’s an intelligent partner that accompanies you throughout your day-to-day Microsoft 365 interactions. Be it in Outlook, PowerPoint, Word, Excel, Teams, or other applications, Copilot’s goal is to save you time by generating new content, offering relevant suggestions, and making you more productive.

Copilot’s understanding context and user needs

Microsoft 365 Copilot’s effectiveness stems from its unparalleled ability to understand you — the user. It does so by:

• Analyzing content. Whether it’s the document you’re drafting, the email you’re composing, or the meeting you’re in, Copilot scrutinizes the subject matter, tone, structure, and semantics to determine your intent and meaning.
• Getting context from your work data in Microsoft 365. Your communications, activity history, and content help Copilot to get additional context in real-time as it responds to your prompts.

Transform how you work

With a deep understanding of your context, Microsoft 365 Copilot doesn’t stop at just observations. It takes action:

• Search and retrieval. Copilot uses powerful search capabilities that identify useful data and content sources that can assist you.
• Natural phrasing with large language models. Large language models (LLMs) provide the engine that powers Copilot. These models enable Copilot to craft naturally phrased recommendations, ensuring that any content it generates aligns with your unique situation.
• Refining recommendations. It’s not about quantity, but quality. Copilot evaluates potential suggestions, refining them to ensure what you get is contextually relevant and specific.

Microsoft 365 Copilot is designed to transform how employees work in the digital age. The following list describes some of the many features that Copilot provides organizations, including:

• Enhanced meeting engagement. Copilot can help you stay more engaged in meetings. It also provides quick catch-ups for meetings you missed, ensuring you’re always in the loop.
• Efficient email management. Copilot can help streamline your email communication by summarizing lengthy email threads and drafting responses.
• Writing assistance. Copilot can transform your writing by drafting, editing, summarizing, and creating alongside you. This functionality can enhance the quality and efficiency of your documents.
• Presentation development. Starting a new presentation is simplified with Copilot. You can begin with either a prompt or an outline using natural language commands, bringing your ideas to life.
• Data analysis and visualization. Copilot can help identify trends, create visualizations, and provide recommendations, thereby simplifying data analysis.
• Security and compliance. Your data remains protected with comprehensive enterprise compliance and security controls, ensuring peace of mind.
• User control. You maintain control over AI suggestions, deciding which to use, modify, or discard. This design ensures the human element remains at the forefront of AI interaction, with the latest enhancements providing even greater flexibility and control.

Logical architecture

Microsoft 365 Copilot uses your organization’s data that you as an individual user have access to. For example, calendar events, emails, chats, documents, and meetings from the Microsoft Graph. It maps this data and relationships, providing personalized, relevant, and actionable information. Your data remains secure within the Microsoft 365 service boundary, adhering to the latest security, compliance, and privacy policies. Furthermore, communication between your tenant and Copilot components is encrypted.

 Note

The way Microsoft 365 Copilot accesses data is illustrated in the following diagram.

Here’s an explanation of how Microsoft 365 Copilot works:

1. Copilot receives an input prompt from a user in an app, such as Word or PowerPoint.
2. Copilot then preprocesses the input prompt through an approach called grounding. Grounding improves the specificity of the prompt, to help you get answers that are relevant and actionable to your specific task. The prompt can include text from input files or other content discovered by Copilot, and Copilot sends this prompt to the LLM for processing. Copilot only accesses data that an individual user has existing access to, based on, for example, existing Microsoft 365 role-based access controls.
3. Copilot takes the response from the LLM and post-processes it. This post-processing includes other grounding calls to Microsoft Graph, responsible AI checks, security, compliance and privacy reviews, and command generation.
4. Copilot returns the response to the app, where the user can review and assess the response.

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Microsoft 365 Copilot represents a new paradigm in work, where employees collaborate with AI for increased productivity. Copilot addresses the modern challenge where the pace of work is overtaking our ability to keep up. Microsoft 365 Copilot is designed to transform how we work in the digital age. Powered by Large Language Models (LLMs) and utilizing your business data from Microsoft Graph, Copilot aims to spark creativity, boost productivity, and foster new skills. This innovative tool integrates seamlessly with the Microsoft 365 suite, including popular applications like Teams, Word, Outlook, PowerPoint, Excel, and more to elevate productivity and creativity in the workplace.

Examples of Microsoft 365 Copilot in action may include:

• Outlook. Summarize the content of a large email thread.
• PowerPoint. Create a PowerPoint slide presentation based on a report.
• Word. Rewrite a paragraph in a different tone or style.
• Teams. Summarize meetings and chat threads.

Microsoft 365 Copilot can help change the way that we work, transforming our everyday tasks into opportunities for growth and innovation.

The Microsoft 365 Copilot system

Microsoft 365 Copilot is more than OpenAI’s ChatGPT embedded into Microsoft 365. In fact, Copilot is a sophisticated orchestration engine and processor. It melds the strengths of LLMs with Microsoft 365 apps and your proprietary business data that you as an individual user have access to within Microsoft Graph.

Additional viewing. For more information, watch the following short video for a high-level overview of Microsoft 365 Copilot.

Trusted data security

Anchored in the heart of your business data lies the strength of Microsoft 365 Copilot, which maintains a firm commitment to security, compliance, and privacy. Operating with real-time access to your content and context within Microsoft Graph, Copilot has the capacity to generate responses deeply ingrained in your business content to provide relevant answers and insights. When paired with your ongoing work context – whether it’s the meeting you’re currently in, recent email exchanges, or last week’s chat conversations – Copilot delivers precise, pertinent, and contextually aware responses.

Furthermore, Copilot rests on Microsoft’s comprehensive approach to security, compliance, and privacy. Since Copilot is integrated into Microsoft 365, it automatically aligns with your company’s robust security, compliance, and privacy policies and processes, establishing itself as a reliable AI solution that you can trust.

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Once educators understand the basics of AI, they should reflect on their teaching practices and identify areas where AI can enhance learning outcomes. Additionally, consider how AI can help streamline administrative tasks.

Questions educators should consider include:

• What are specific needs for my learners?
• What goals should I aim to achieve with the help of AI?
• Are there repetitive tasks that consume a significant amount of my time?
• How can AI tools help streamline tasks like grading, attendance tracking, or scheduling?
• How can AI help with my workload to give me more time for direct learner interaction?

Clearly defining their needs and goals guides educators in their selection of AI tools to use.

To gain confidence with their use of AI tools, educators can start small. They can begin with a single AI tool that addresses one of their identified needs or goals. For instance, if an educator wants to improve learner engagement, they might start with Khanmigo to seek help on designing lesson hooks, identifying real-world examples, or connecting lessons to learners’ interests. Educators can implement the tool in a small, manageable way and gradually expand its use as they become more comfortable.

After they successfully integrate an AI tool, educators can expand their use to other tools that meet other goals or needs. As they gain confidence with their use of AI, educators can gradually build a toolkit of AI resources that enhance various aspects of their teaching. Educators should stay focused on how the tools can ease their workload and support and enrich the learning environment.

As they use AI tools, educators should be sure to regularly assess the impact of the AI tool on their learners and their workload. Collect feedback from learners and observe any changes in their engagement and performance. Additionally, educators should evaluate how AI contributes to their efficiency in completing repetitive tasks. Use this data to make informed decisions about continuing, modifying, or expanding the use of AI tools.

And, finally, educators can share what they learn with others. Collaboration can lead to more effective and innovative uses of AI. Share experiences, challenges, and successes with colleagues. Join professional learning communities or online forums where educators discuss AI in education. Additionally, share experiences with Microsoft’s free AI tools on social media with hashtag #MicrosoftEdu.

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GitHub Copilot is an AI coding assistant that helps educators and learners with developer scenarios. Within its integrated development environment (IDE), GitHub Copilot can help educators and learners generate everything from coding assignments to writing test cases. It can also:

• Answer questions
• Explain coding concepts
• Offer prompts for writing code
• Debug code
• Offer help on how to use the command line

GitHub Copilot is free for all verified educators and learners 13 years and older. It’s a powerful tool that can save time, improve coding skills, and teach industry best practices.

GitHub Copilot can help educators:

• Enhance teaching and create coding examples, assignments, and projects more efficiently by:
  • Generating code snippets
  • Suggesting improvements
  • Explaining complex concepts
• Develop coding curricula, including exercises and solutions
• Provide personalized feedback to learners and help them understand their mistakes and learn more effectively

GitHub Copilot can help learners:

• Write code by suggesting completions and corrections, which is particularly useful for beginners learning syntax and best practices
• Overcome coding challenges with suggestions and solutions
• Accelerate project development by helping them to focus more on learning concepts and less on debugging syntax errors

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