Azure Openai
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Programming Large Language Models with Azure Open AI
Author: Francesco Esposito
language: en
Publisher: Microsoft Press
Release Date: 2024-04-03
Use LLMs to build better business software applications Autonomously communicate with users and optimize business tasks with applications built to make the interaction between humans and computers smooth and natural. Artificial Intelligence expert Francesco Esposito illustrates several scenarios for which a LLM is effective: crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programming—with specific techniques for patterns and frameworks—unlock how natural language can also lead to a new, advanced approach to coding. Concrete end-to-end demonstrations (featuring Python and ASP.NET Core) showcase versatile patterns of interaction between existing processes, APIs, data, and human input. Artificial Intelligence expert Francesco Esposito helps you: Understand the history of large language models and conversational programming Apply prompting as a new way of coding Learn core prompting techniques and fundamental use-cases Engineer advanced prompts, including connecting LLMs to data and function calling to build reasoning engines Use natural language in code to define workflows and orchestrate existing APIs Master external LLM frameworks Evaluate responsible AI security, privacy, and accuracy concerns Explore the AI regulatory landscape Build and implement a personal assistant Apply a retrieval augmented generation (RAG) pattern to formulate responses based on a knowledge base Construct a conversational user interface For IT Professionals and Consultants For software professionals, architects, lead developers, programmers, and Machine Learning enthusiasts For anyone else interested in natural language processing or real-world applications of human-like language in software
Securing Microsoft Azure OpenAI
Securely harness the full potential of OpenAI’s artificial intelligence tools in Azure Securing Microsoft Azure OpenAI is an accessible guide to leveraging the comprehensive AI capabilities of Microsoft Azure while ensuring the utmost data security. This book introduces you to the collaborative powerhouse of Microsoft Azure and OpenAI, providing easy access to cutting-edge language models like GPT-4o, GPT-3.5-Turbo, and DALL-E. Designed for seamless integration, the Azure OpenAI Service revolutionizes applications from dynamic content generation to sophisticated natural language translation, all hosted securely within Microsoft Azure’s environment. Securing Microsoft Azure OpenAI demonstrates responsible AI deployment, with a focus on identifying potential harm and implementing effective mitigation strategies. The book provides guidance on navigating risks and establishing best practices for securely and responsibly building applications using Azure OpenAI. By the end of this book, you’ll be equipped with the best practices for securely and responsibly harnessing the power of Azure OpenAI, making intelligent decisions that respect user privacy and maintain data integrity.
Getting Started with Azure OpenAI
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 Who This Book Is for: This book will be helpful for System Administrators and Azure Administrators