Mastering Microsoft Azure Fundamentals

Foundations of AI in Microsoft Azure - Episode 15: Generative AI Fundamentals and Microsoft Copilot

32 min · 24. sept. 2025
episode Foundations of AI in Microsoft Azure - Episode 15: Generative AI Fundamentals and Microsoft Copilot cover

Beskrivelse

In this episode, we demystify the world of Generative AI. We'll explore the core technology that powers applications like Microsoft Copilot, breaking down key concepts like the transformer architecture, tokenization, and the attention mechanism. We'll also discuss the difference between Large Language Models (LLMs) and Small Language Models (SLMs) and how they are used to create original content from simple text prompts. Finally, we'll dive deep into Microsoft Copilot's integration across a range of Microsoft applications, from Word to Dynamics 365, and discuss how businesses can use tools like Copilot Studio to build their own custom AI agents.

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Alle episoder

32 episoder

episode Foundations of AI in Microsoft Azure - Episode 18: Azure AI Agent Fundamentals and Development Options cover

Foundations of AI in Microsoft Azure - Episode 18: Azure AI Agent Fundamentals and Development Options

Move beyond simple chatbots. This episode explores the future of automation with AI Agents on Azure, defined as intelligent software systems that combine generative AI models with contextual data to autonomously complete tasks. We examine how multi-agent solutions can handle complex workflows. We then detail the development options, ranging from low-code platforms like Microsoft Copilot Studio for business users, to code-first frameworks such as the Azure AI Agent Service, Semantic Kernel, and AutoGen for professional developers. Finally, we break down the Azure AI Agent Service's core: the model (for prompts), knowledge (for grounding), and tools (for action automation). Tune in to understand the platform and frameworks driving the next generation of enterprise automation.https://learnazure4free.com/ [https://learnazure4free.com/]

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Foundations of AI in Microsoft Azure - Episode 17: Blueprint for Responsible Generative AI Development

This episode breaks down the crucial four-stage process for building safe and ethical AI solutions. First, they Identify Harms by rigorously testing for risks like bias and false content. Second, they Measure Harms, establishing baselines for system performance and risk presence. Third, they Mitigate Risks by applying a layered defense that ranges from model tuning to user experience design. Finally, they Operate Responsibly, ensuring ongoing safety through compliance, phased rollouts, and robust incident plans. We explore how this guidance, which champions continuous testing and tools like Azure AI Content Safety, is defining the future of trustworthy AI deployment.https://learnazure4free.com/ [https://learnazure4free.com/]

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episode Foundations of AI in Microsoft Azure - Episode 14: Azure AI Search - Fundamentals and Querying cover

Foundations of AI in Microsoft Azure - Episode 14: Azure AI Search - Fundamentals and Querying

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