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

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781835885666

Length 288 pages

Edition 1st Edition

Languages

Python

Tools

Azure

Concepts

Artificial Intelligence

Authors (2):

Steve Miles

Aaron Guilmette

View More author details

Table of Contents (20) Chapters

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

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Identify features and uses for translation

As we saw in the NLP scenarios section, text and document translation are tasks that can be provided by NLP as part of the translation area of AI.

AI translation (or machine translation) is the process of using AI to translate text or speech from one language to another. AI translation systems aim to enable communication among people who speak different languages by giving fast and accurate translations.

Translation can provide the following uses:

Detecting the language of a given body of text
Reading text from documents in different languages
Generating text in a different language to original text; translating text from one language to another
Storing text in a preferred language and presenting it to users in their required language; can be based on geo-location to identify language

AI translation models use DL techniques to analyze and understand patterns and relationships between words in different languages...