Azure OpenAI Essentials
eBook Details:
- Paperback: 368 pages
- Publisher: WOW! eBook (February 27, 2025)
- Language: English
- ISBN-10: 1805125060
- ISBN-13: 978-1805125068
eBook Description:
Azure OpenAI Essentials: A practical guide to unlocking generative AI-powered innovation with Azure OpenAI. Build innovative, scalable, and ethical AI solutions by harnessing the full potential of generative AI with this exhaustive guide.
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 Azure OpenAI Essentials 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.
- 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
By the end of this Azure OpenAI Essentials book, you’ll be ready to design, develop, and deploy scalable AI solutions, ensuring business success through intelligent automation and data-driven insights.
