Episode

Get started with Microsoft Copilot for Security Ep01: Fundamentals of Generative AI

with Edward Walton, Andrea Fisher, Cecilia Perez-Benitoa

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With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone. In this module you'll explore the way in which large language models (LLMs) enable AI applications and services to generate original content based on natural language input. You’ll also learn how generative AI enables the creation of AI-powered copilots that can assist humans in creative tasks.

Learning objectives

  • Learn about the kinds of solutions AI can make possible and considerations for responsible AI practices
  • Understand generative AI's place in the development of artificial intelligence
  • Understand large language models and their role in intelligent applications
  • Describe how Azure OpenAI supports intelligent application creation
  • Describe examples of copilots and good prompts

Chapters

  • 00:00 - Introduction
  • 03:43 - Learning objectives
  • 06:42 - What is generative AI?
  • 08:47 - Natural language generation
  • 11:09 - Image generation
  • 13:20 - Code generation
  • 14:02 - Large Language Models
  • 16:29 - Transformer models
  • 19:59 - Tokenization
  • 22:00 - Embeddings
  • 27:14 - Attention
  • 29:40 - What is Azure OpenAI?
  • 34:03 - Azure AI Studio
  • 40:23 - What are copilots?
  • 45:24 - Microsoft Copilot
  • 48:10 - Improve generative AI responses with prompt engineering
  • 01:01:44 - Knowledge check
  • 01:07:23 - Summary

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Beginner
AI Engineer
Developer
Solution Architect
Student
Azure
Azure OpenAI Service