Microsoft

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Azure AI Foundry & Agentic AI

  • Azure AI Foundry ... (Formerly Azure AI Studio) Microsoft's unified platform-as-a-service (PaaS) for building, customizing, evaluating, and deploying generative AI applications and autonomous agents.
  • Azure AI Agent Service ... Allows developers to orchestrate multi-agent workflows where specialized AI agents call each other as tools to solve complex enterprise problems collaboratively across any cloud.

Microsoft Copilot Studio & Autonomous Agents

  • Microsoft Copilot Studio ... The successor to Power Virtual Agents. A low-code platform for building custom Copilots and Autonomous Agents. These event-driven systems operate independently in the background, monitoring data, making decisions, and running workflows across systems like SAP, SharePoint, and Dynamics without waiting for user prompts.

Phi Family (Small Language Models)

  • Microsoft Phi ... A family of state-of-the-art Small Language Models (SLMs) designed to maximize reasoning capabilities with vastly lower compute requirements than standard LLMs.
    • Phi-3 & Phi-3.5: Highly efficient models optimized for edge devices, local processing, and Windows Copilot+ PCs.
    • Phi-4: Released in late 2024, a 14-billion parameter model specializing in complex reasoning, mathematics, and logic, rivaling much larger foundation models while remaining small enough for efficient deployment.

Copilot+ PCs & On-Device AI

  • Copilot+ PCs ... Windows hardware featuring dedicated Neural Processing Units (NPUs) capable of 40+ TOPS (Tera Operations Per Second) to run AI models locally.
    • Windows Copilot Runtime: Integrates on-device models directly into the OS for features like Recall, Live Captions, and local generation, reducing latency and reliance on cloud endpoints.

Microsoft Fabric

  • Microsoft Fabric ... An end-to-end data analytics platform unifying Azure Data Factory, Synapse Analytics, and Power BI into a single, AI-powered SaaS experience.

Microsoft Build showcased the latest innovations in code and app development to help empower developers around the world. Key announcements include the expansion of Microsoft Copilot, the Copilot Stack with common extensibility, Azure AI Foundry, and Microsoft Fabric. Book of News

PowerPoint

This process allows you to leverage AI-generated content (the outline) and automate the initial slide creation. Manual adjustments ensure that the final presentation meets your specific requirements.

While on a group call, I generated a set of talking points to the various issues that we were addressing. Basically, kind of a presentation within the prompts. We were able to turn the presentation into Visual Basic for Applications (VBA) code. I opened up PowerPoint right there, copied the text out of the prompt. In PowerPoint I went to the Tools tab, selected down to Macros, and opened the visual basic editor which is available to everybody. I pasted the VBA code in as a new module and ran the code producing our PowerPoint for our team, right there. The whole thing took five minutes to get a 30-page PowerPoint set up. Now, they're was a lot of manual tweaking to be done afterwards. This is totally non-technical what we're talking about here. | Practical AI (paraphrased)

1. Create a Chat Prompt: 

   - Begin by formulating a chat prompt that outlines the content you want in your presentation. Think of it as a conversation with an AI assistant (like me!). Your prompt should include:
       - Persona: Describe the role or expertise of the speaker (e.g., an expert in Python programming).
       - Goal: Specify the purpose of the presentation (e.g., pitching the benefits of Python over Java).
       - Details: Provide relevant information or talking points (e.g., Python's ease of use, development, and scalability).

   For example:
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