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  • Book Overview & Buying Azure OpenAI Essentials
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Azure OpenAI Essentials

Azure OpenAI Essentials

By : Amit Mukherjee, Adithya Saladi
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Azure OpenAI Essentials

Azure OpenAI Essentials

By: Amit Mukherjee, Adithya Saladi

Overview of this book

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.
Table of Contents (19 chapters)
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Part 1: Foundations of Generative AI and Azure OpenAI
5
Part 2: Practical Applications of Azure OpenAI: Real-World Use Cases
13
Part 3: Mastering Governance, Operations, and AI Optimization with Azure OpenAI

Exploring LLM use cases

LLMs have a wide range of use cases across various fields and industries due to their ability to understand and generate human-like text. Let’s take a look at some of them:

  • Content generation: LLMs can generate written content for blogs, articles, marketing materials, and social media posts. They can be used to automate content creation and come up with creative ideas.
  • Customer support: LLMs can provide automated responses to customer queries and support tickets, thus handling common questions and issues, freeing up human agents to handle more complex cases.
  • Language translation: LLMs can be employed to translate text between languages, making communication easier and more accessible on a global scale.
  • Text summarization: LLMs can quickly summarize lengthy texts, making it easier to grasp the main points of articles, reports, and other written materials.
  • Chatbots and virtual assistants: LLMs can power chatbots and virtual assistants...
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Azure OpenAI Essentials
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