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    Azure OpenAI Essentials: A practical guide to unlocking generative AI-powered innovation with Azure OpenAI

    Posted By: yoyoloit
    Azure OpenAI Essentials: A practical guide to unlocking generative AI-powered innovation with Azure OpenAI

    Azure OpenAI Essentials
    by Amit Mukherjee and Adithya Saladi

    English | 2025 | ISBN: 1805125060 | 368 pages | True/Retail PDF EPUB | 79.57 MB




    Build innovative, scalable, and ethical AI solutions by harnessing the full potential of generative AI with this exhaustive guide
    Key Features

    Explore the capabilities of Azure OpenAI’s LLMs
    Craft end-to-end applications by utilizing the synergy of Azure OpenAI and Cognitive Services
    Design enterprise-grade GenAI solutions with effective prompt engineering, fine-tuning, and AI safety measures
    Purchase of the print or Kindle book includes a free PDF eBook

    Book Description

    Find out what makes Azure OpenAI a robust platform for building AI-driven solutions that can transform how businesses operate. Written by seasoned experts from Microsoft, this book will guide you in understanding Azure OpenAI from fundamentals through to advanced concepts and best practices.

    The book begins with an introduction to large language models (LLMs) and the Azure OpenAI Service, detailing how to access, use, and optimize its models. You'll learn how to design and implement AI-driven solutions, such as question-answering systems, contact center analytics, and GPT-powered search applications. Additionally, the chapters walk you through advanced concepts, including embeddings, fine-tuning models, prompt engineering, and building custom AI applications using LangChain and Semantic Kernel. You'll explore real-world use cases such as QnA systems, document summarizers, and SQLGPT for database querying, as well as gain insights into securing and operationalizing these solutions in enterprises.

    By the end of this book, you'll be ready to design, develop, and deploy scalable AI solutions, ensuring business success through intelligent automation and data-driven insights.
    What you will learn

    Understand the concept of large language models and their capabilities
    Interact with different models in Azure OpenAI using APIs or web interfaces
    Use content filters and mitigations to prevent harmful content generation
    Develop solutions with Azure OpenAI for content generation, summarization, semantic search, NLU, code and image generation and analysis
    Integrate Azure OpenAI with other Azure Cognitive services for enhanced functionality
    Apply best practices for data privacy, security, and prompt engineering with Azure OpenAI

    Who this book is for

    This book is for software developers, data scientists, AI engineers, ML engineers, system architects, LLM engineers, IT professionals, product managers, and business professionals who want to learn how to use Azure OpenAI to create innovative solutions with generative AI. To fully benefit from this book, you must have both an Azure subscription and Azure OpenAI access, along with knowledge of Python.
    Table of Contents

    Introduction to Large Language Models
    Azure OpenAI Fundamentals
    Azure OpenAI Advanced Topics
    Developing an Enterprise Document Question-Answer Solution
    Building Contact Center Analytics
    Querying from a Structured Database
    Code Generation and Documentation
    Creating a Basic Recommender Solution with Azure OpenAI
    Transforming Text to Video
    Creating a Multimodal Multi-Agent Framework with the Azure OpenAI Assistant API
    Privacy and Security
    Operationalizing Azure OpenAI
    Advanced Prompt Engineering



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