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Azure OpenAI Service for Cloud Native Applications (Designing, Planning, and Implementing Generative AI Solutions)

List Price: $59.99
SKU:
9781098154998
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  • Product Details

    Author:
    Adrian Gonzalez Sanchez
    Format:
    Paperback
    Pages:
    246
    Publisher:
    O'Reilly Media (August 6, 2024)
    Language:
    English
    ISBN-13:
    9781098154998
    ISBN-10:
    1098154991
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260209163242-20260209.xml
    Folder:
    TWO RIVERS
    List Price:
    $59.99
    Case Pack:
    16
    As low as:
    $51.59
    Publisher Identifier:
    P-PER
    Discount Code:
    C
    Country of Origin:
    United States
    Pub Discount:
    60
    Weight:
    14.08oz
    Imprint:
    O'Reilly Media
  • Overview

    Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service—using powerful generative AI models such as GPT-4 and GPT-4o—within the Microsoft Azure cloud computing platform.

    To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts.

    Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you:

    • Learn how to implement cloud native applications with Azure OpenAI Service
    • Deploy, customize, and integrate Azure OpenAI Service with your applications
    • Customize large language models and orchestrate knowledge with company-owned data
    • Use advanced roadmaps to plan your generative AI project
    • Estimate cost and plan generative AI implementations for adopter companies