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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
Author Profile Icon Aaron Guilmette
Aaron Guilmette
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Identify Features of Common AI Workloads FREE CHAPTER
2. Chapter 1: Identify Features of Common AI Workloads 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

What is Azure OpenAI Service?

Azure OpenAI Service is a cloud-based platform that integrates cutting-edge artificial intelligence (AI) models developed by OpenAI into the Azure ecosystem.

What’s included?

At a high level, Azure OpenAI Service combines OpenAI’s models with the Azure platform. There are four main components included:

  • Pre-trained GenAI models
  • Customization and fine-tuning
  • Responsible AI frameworks and tooling to help mitigate harm
  • Security including private networking and role-based access control (RBAC)

This service offers businesses and developers access to some of the most advanced AI models, such as the following:

  • GPT-4: As the latest model of OpenAI’s Generative Pre-trained Transformer (GPT) models, the GPT-4 model offers advanced natural language understanding (NLU) and NLG capabilities, enabling diverse applications such as content creation, conversation simulation, code completion, language translation...
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