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Microsoft Azure AI Fundamentals AI-900 Exam Guide

You're reading from   Microsoft Azure AI Fundamentals AI-900 Exam Guide Gain proficiency in Azure AI and machine learning concepts and services to excel in the AI-900 exam

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781835885666
Length 288 pages
Edition 1st Edition
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Authors (2):
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Steve Miles Steve Miles
Author Profile Icon Steve Miles
Steve Miles
Aaron Guilmette Aaron Guilmette
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Aaron Guilmette
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Identify Features of Common AI Workloads
2. Chapter 1: Identify Features of Common AI Workloads FREE CHAPTER 3. Chapter 2: Identify the Guiding Principles for Responsible AI 4. Part 2: Describe the Fundamental Principles of Machine Learning on Azure
5. Chapter 3: Identify Common Machine Learning Techniques 6. Chapter 4: Describe Core Machine Learning Concepts 7. Chapter 5: Describe Azure Machine Learning Capabilities 8. Part 3: Describe Features of Computer Vision Workloads on Azure
9. Chapter 6: Identify Common Types of Computer Vision Solutions 10. Chapter 7: Identify Azure Tools and Services for Computer Vision Tasks 11. Part 4: Describe Features of Natural Language Processing (NLP) Workloads on Azure
12. Chapter 8: Identify Features of Common NLP Workload Scenarios 13. Chapter 9: Identify Azure Tools and Services for NLP Workloads 14. Part 5: Describe Features of Generative AI Workloads on Azure
15. Chapter 10: Identify Features of Generative AI Solutions 16. Chapter 11: Identify Capabilities of Azure OpenAI Service 17. Chapter 12: Accessing the Online Practice Resources 18. Index 19. Other Books You May Enjoy

Identify Capabilities of Azure OpenAI Service

In this final chapter, we’re going to look at the capabilities of Azure OpenAI Service. If you’ll recall, OpenAI is the company behind what are currently some of the most popular generative artificial intelligence (GenAI) products such as ChatGPT and DALL-E.

Azure OpenAI Service brings those same capabilities directly into Azure, letting you work seamlessly with your own data to generate new completions and images.

The objectives and skills we’ll cover in this chapter include the following:

  • What is Azure OpenAI Service?
  • Describe natural language generation (NLG) capabilities of Azure OpenAI Service
  • Describe code generation capabilities of Azure OpenAI Service
  • Describe image generation capabilities of Azure OpenAI Service

By the end of this chapter, you should be able to easily describe the features and capabilities of the powerful new OpenAI services part of the Azure Cognitive Services...

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