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Getting started with Azure OpenAIdep...
~
Ifrah, Shimon.
Getting started with Azure OpenAIdeploying and managing Azure AI and Azure OpenAI solutions /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Getting started with Azure OpenAIby Shimon Ifrah.
Reminder of title:
deploying and managing Azure AI and Azure OpenAI solutions /
Author:
Ifrah, Shimon.
Published:
Berkeley, CA :Apress :2024.
Description:
xiv, 258 p. :ill. (chiefly color), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Artificial intelligenceComputer programs.
Online resource:
https://doi.org/10.1007/979-8-8688-0599-8
ISBN:
9798868805998$q(electronic bk.)
Getting started with Azure OpenAIdeploying and managing Azure AI and Azure OpenAI solutions /
Ifrah, Shimon.
Getting started with Azure OpenAI
deploying and managing Azure AI and Azure OpenAI solutions /[electronic resource] :by Shimon Ifrah. - Berkeley, CA :Apress :2024. - xiv, 258 p. :ill. (chiefly color), digital ;24 cm.
Chapter 1 - Introduction to Azure AI and OpenAI -- Chapter 2 - Tools and Services Deployment -- Chapter 3 - Azure .NET SDK for Azure OpenAI and AI Services -- Chapter 4- Use .NET to Create AI Apps -- Chapter 5 - Introduction to Assistants -- Chapter 6 - GPT-4, DALL-E and Whisper.
Learn to develop AI solutions using Azure SDK for .NET and deploy them on Microsoft Azure infrastructure. The book will teach you how to deploy Azure OpenAI services using Azure PowerShell, Azure CLI, and Azure API, as well as how to develop a variety of AI solutions using Azure AI services and tools. The book starts with an introduction to Azure AI and OpenAI, followed by a thorough n exploration of the necessary tools and services for deploying OpenAI in Azure. It covers Azure PowerShell, Copilot, and Azure CLI, and includes guidance on using Terraform with Azure OpenAI resources. Subsequently, detailed discussions on developing the Azure .NET SDK for Azure OpenAI and AI Services, alongside its use cases, are provided. Progressing further, readers will gain insight into initiating with Azure AI Studio and building Copilot with its help. Finally, various Azure AI services and AI tools are covered, encompassing GitHub Copilot for code writing and management. After reading the book, you will be able to develop AI solutions in Azure and deploy its services in OpenAI. What You Will Learn: Develop a Copilot using Azure AI Studio Access Azure AI and OpenAI services using API Deploy Azure AI Services using Azure CLI , PowerShell and Terraform The use of Postman to connect to Azure OpenAI.
ISBN: 9798868805998$q(electronic bk.)
Standard No.: 10.1007/979-8-8688-0599-8doiSubjects--Topical Terms:
338039
Artificial intelligence
--Computer programs.
LC Class. No.: Q335 / .I37 2024
Dewey Class. No.: 006.3
Getting started with Azure OpenAIdeploying and managing Azure AI and Azure OpenAI solutions /
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Getting started with Azure OpenAI
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deploying and managing Azure AI and Azure OpenAI solutions /
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by Shimon Ifrah.
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2024.
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xiv, 258 p. :
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ill. (chiefly color), digital ;
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Chapter 1 - Introduction to Azure AI and OpenAI -- Chapter 2 - Tools and Services Deployment -- Chapter 3 - Azure .NET SDK for Azure OpenAI and AI Services -- Chapter 4- Use .NET to Create AI Apps -- Chapter 5 - Introduction to Assistants -- Chapter 6 - GPT-4, DALL-E and Whisper.
520
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Learn to develop AI solutions using Azure SDK for .NET and deploy them on Microsoft Azure infrastructure. The book will teach you how to deploy Azure OpenAI services using Azure PowerShell, Azure CLI, and Azure API, as well as how to develop a variety of AI solutions using Azure AI services and tools. The book starts with an introduction to Azure AI and OpenAI, followed by a thorough n exploration of the necessary tools and services for deploying OpenAI in Azure. It covers Azure PowerShell, Copilot, and Azure CLI, and includes guidance on using Terraform with Azure OpenAI resources. Subsequently, detailed discussions on developing the Azure .NET SDK for Azure OpenAI and AI Services, alongside its use cases, are provided. Progressing further, readers will gain insight into initiating with Azure AI Studio and building Copilot with its help. Finally, various Azure AI services and AI tools are covered, encompassing GitHub Copilot for code writing and management. After reading the book, you will be able to develop AI solutions in Azure and deploy its services in OpenAI. What You Will Learn: Develop a Copilot using Azure AI Studio Access Azure AI and OpenAI services using API Deploy Azure AI Services using Azure CLI , PowerShell and Terraform The use of Postman to connect to Azure OpenAI.
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Professional and Applied Computing (SpringerNature-12059)
based on 0 review(s)
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EB Q335 .I23 2024 2024
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https://doi.org/10.1007/979-8-8688-0599-8
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