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Programming Large Language Models With Azure Open Ai

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Programming Large Language Models With Azure Open Ai

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Author : Francesco Esposito
language : en
Publisher: Microsoft Press
Release Date : 2024-04-03

Programming Large Language Models With Azure Open Ai written by Francesco Esposito and has been published by Microsoft Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-03 with Computers categories.

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

Empowering Educators Integrating Ai Tools For Personalized Language Instruction

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Author : Vu Phi Ho Pham
language : en
Publisher: Springer Nature
Release Date : 2025-11-01

Empowering Educators Integrating Ai Tools For Personalized Language Instruction written by Vu Phi Ho Pham and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-01 with Education categories.

This book examines the use of AI technology, particularly ChatGPT, into English language education. This 15-chapter anthology examines the pedagogical, ethical, and cognitive aspects of AI-enhanced instruction, utilizing research from Vietnam and global contexts. Section I (Chapters 2–8), AI Integration in Language Teaching and Learning, analyzes the role of AI in language instruction and acquisition, encompassing emotional intelligence, rubric-based assessment, IELTS preparation, and educator identification. Section II (Chapters 9–13), AI-Enhanced Language Learning Skills and Practices, examines AI-augmented language learning methodologies, addressing vocabulary acquisition, learner independence, and chatbot-assisted education. Section III (Chapters 14–15), AI in Translation and Support Systems, examines artificial intelligence in translation and academic assistance systems. The book emphasizes the transformative potential as well as the dangers of excessive dependence, academic misconduct, and insufficient teacher training. Highlighting ethical integration and human–AI collaboration, it offers pragmatic ideas for educators, academics, and policymakers. Empowering educators envisions AI as a strategically—augmenting, not supplanting—teachers in the establishment of sustainable and inclusive language learning settings.

Art History In The Age Of Artificial Intelligence

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Author : James Hutson
language : en
Publisher: Springer Nature
Release Date : 2025-10-11

Art History In The Age Of Artificial Intelligence written by James Hutson and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-11 with Computers categories.

This book examines how artificial intelligence is transforming museums and art historical research by enhancing visitor inclusivity, scholarly innovation, and pedagogical practices. Chapters explore practical implementations of intelligent technologies, addressing accessibility, data-driven research, ethical frameworks, administrative leadership, and immersive digital learning. Combining theoretical insights with case studies and practical guidelines, it offers a comprehensive roadmap for responsibly integrating AI across art museums, scholarship, and education.

Ultimate Microsoft Security Copilot For Security Operations

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Author : Raghu Boddu
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-11-15

Ultimate Microsoft Security Copilot For Security Operations written by Raghu Boddu and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-15 with Computers categories.

TAGLINE Defend Smarter, Faster, and Stronger with Microsoft Security Copilot. KEY FEATURES ● Comprehensive, hands-on guidance to master Microsoft Security Copilot in real-world security operations. ● Step-by-step strategies to enhance threat detection, investigation, and response with AI-driven insights. ● Actionable best practices and automation tips to streamline SOC workflows, and improve team efficiency. DESCRIPTION Microsoft Security Copilot helps defenders keep up by using Generative AI to detect, investigate, and respond to attacks quickly and accurately. Ultimate Microsoft Security Copilot for Security Operations is your ideal, comprehensive guide to mastering this transformation. The book takes you from understanding the foundations of AI in cybersecurity to fully integrating Microsoft Security Copilot into modern SOC, XDR, and SIEM operations. You will discover how AI is reshaping every layer of the defense stack automating workflows, enhancing visibility, and driving faster, data-backed decision-making. Through practical examples, expert insights, and actionable strategies, you will learn how to design AI-driven detection and response frameworks, create effective prompt engineering and promptbooks, and leverage AI agents to boost efficiency and consistency. The book also walks you through implementation strategies, automation techniques, adoption roadmaps, and real-world case studies ensuring that you can move from reactive defense to proactive, intelligence-led protection with confidence. Thus, whether you are a SOC analyst, security architect, manager, or CISO, this book equips you with the knowledge and practical skills to modernize your operations, and stay ahead of next-generation threats. WHAT WILL YOU LEARN ● Understand the fundamentals of Generative AI in cybersecurity, and its applications in modern SOC environments. ● Gain deep expertise in Microsoft Security Copilot, its architecture, and its integration across the Microsoft ecosystem. ● Learn prompt engineering techniques, and how to create effective promptbooks for consistent, high-quality AI outcomes. ● Master the use of Security Copilot AI Agents to automate threat detection, investigation, and response processes. ● Develop a strategic adoption and implementation roadmap for deploying Security Copilot in real-world enterprise environments. WHO IS THIS BOOK FOR? This book is tailored for organizations and cybersecurity professionals keen to adopt AI-powered security solutions using Microsoft technologies. It is ideal for SOC analysts, threat hunters, security architects, CISOs, or anyone eager to understand how Microsoft Security Copilot, XDR, and SIEM can transform modern security operations. TABLE OF CONTENTS 1. Gen AI in Cybersecurity 2. Microsoft Security Copilot 3. Security Copilot within Microsoft Ecosystem and Beyond 4. Prompt Engineering and Promptbooks 5. Security Copilot AI Agents 6. Security Operation Center (SOC) with SC 7. Cyber Risk Operations Center (CROC) with SC 8. Security Copilot Implementation Strategy, Approach, and Roadmap 9. Security Copilot Automation and Monitoring 10. Security Copilot Pricing and Best Practices 11. Case Study with Fictional Company 12. Useful Resources Index

Ultimate Azure Ai Services For Gen Ai Solutions

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Author : Shanthababu Pandian
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-05-08

Ultimate Azure Ai Services For Gen Ai Solutions written by Shanthababu Pandian and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-08 with Computers categories.

TAGLINE Master Generative AI with Azure OpenAI, AI Services, and advanced tools for real-world applications! KEY FEATURES ● Step-by-step and structured content designed for beginners, intermediates, and experts alike. ● Master all facets of Generative AI development, including LLMs, LangChain, Prompt Engineering, and Vector Databases. ● Gain insights into implementation strategies through practical, real-world examples. DESCRIPTION Azure OpenAI provides unparalleled access to cutting-edge AI models, empowering enterprises to innovate, automate, and drive transformative business outcomes at scale. Ultimate Azure AI Services for Gen AI Solutions is your gateway to mastering Azure OpenAI and Azure AI services. Whether you’re just starting out or looking to refine your skills, this book covers everything from foundational concepts to advanced techniques. Dive into topics like Large Language Models (LLMs), LangChain, vector databases, embeddings, and Python programming, with a focus on key Azure components such as Storage, Search Services, Azure OpenAI Studio, and Prompt Flow. Through step-by-step hands-on examples, you’ll gain practical insights into the power of prompt engineering, advanced features of Azure’s AI capabilities, and how to implement solutions in language, speech, and vision. You’ll also explore ethical AI practices, ensuring responsible and impactful AI development. This book equips you with the skills to navigate the full Generative AI lifecycle—from development to deployment—ensuring your enterprise stays ahead in this fast-paced field. Don’t miss your chance to transform your business with Azure’s revolutionary AI tools—start building the future today! WHAT WILL YOU LEARN ● Understand core concepts, including Large Language Models (LLMs), LangChain, and embedding techniques. ● Utilize vector databases, embedding methods, and strategies for effective prompt design for Generative AI solutions. ● Gain hands-on experience with Azure Storage, Azure Search Service, Azure OpenAI Service, and Azure OpenAI Studio. ● Leverage Azure’s advanced AI capabilities, including Language, Speech, and Vision Studio, while adhering to responsible AI practices. ● Master the AI product lifecycle, from development to deployment, using Python for AI-driven applications. WHO IS THIS BOOK FOR? This book is tailored for Generative AI enthusiasts, professionals, and developers looking to upskill in Generative AI and integrate it into real-world applications. A basic understanding of Python and Azure is helpful but not required, as the book provides a structured approach to mastering AI implementation with Python and Azure services. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Exploring LLMs and Its Capabilities 3. Vector Database and Embedding Techniques 4. Prompt Engineering and Its Significance 5. Azure Storage for Azure OpenAI Implementations 6. Azure AI Search Services for Azure OpenAI Implementations 7. Getting Started with Generative AI Using Azure OpenAI Services 8. Advanced Azure AI Studio–I 9. Advanced Azure AI Studio–II 10. Generative AI Use Cases for Industries–I 11. Gen AI Implementation Use Case with Azure OpenAI–II Index

Azure Openai Essentials

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Author : Amit Mukherjee
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-02-27

Azure Openai Essentials written by Amit Mukherjee and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Computers categories.

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 DescriptionFind 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.

Azure Openai Service For Cloud Native Applications

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Author : Adrián González Sánchez
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-06-27

Azure Openai Service For Cloud Native Applications written by Adrián González Sánchez and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-27 with Computers categories.

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

Azure Openai Service For Cloud Native Applications

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Author : Adrián González Sánchez
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-06-27

Data Science Solutions On Azure

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Author : Julian Soh
language : en
Publisher: Springer Nature
Release Date : 2024-11-18

Data Science Solutions On Azure written by Julian Soh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-18 with Computers categories.

This revamped and updated book focuses on the latest in AI technology—Generative AI. It builds on the first edition by moving away from traditional data science into the area of applied AI using the latest breakthroughs in Generative AI. Based on real-world projects, this edition takes a deep look into new concepts and approaches such as Prompt Engineering, testing and grounding of Large Language Models, fine tuning, and implementing new solution architectures such as Retrieval Augmented Generation (RAG). You will learn about new embedded AI technologies in Search, such as Semantic and Vector Search. Written with a view on how to implement Generative AI in software, this book contains examples and sample code. In addition to traditional Data Science experimentation in Azure Machine Learning (AML) that was covered in the first edition, the authors cover new tools such as Azure AI Studio, specifically for testing and experimentation with Generative AI models. What's New in this Book Provides new concepts, tools, and technologies such as Large and Small Language Models, Semantic Kernel, and Automatic Function Calling Takes a deeper dive into using Azure AI Studio for RAG and Prompt Engineering design Includes new and updated case studies for Azure OpenAI Teaches about Copilots, plugins, and agents What You'll Learn Get up to date on the important technical aspects of Large Language Models, based on Azure OpenAI as the reference platform Know about the different types of models: GPT3.5 Turbo, GPT4, GPT4o, Codex, DALL-E, and Small Language Models such as Phi-3 Develop new skills such as Prompt Engineering and fine tuning of Large/Small Language Models Understand and implement new architectures such as RAG and Automatic Function Calling Understand approaches for implementing Generative AI using LangChain and Semantic Kernel See how real-world projects help you identify great candidates for Applied AI projects, including Large/Small Language Models Who This Book Is For Software engineers and architects looking to deploy end-to-end Generative AI solutions on Azure with the latest tools and techniques.

Modern Generative Ai With Chatgpt And Openai Models

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Author : Valentina Alto
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-05-26

Modern Generative Ai With Chatgpt And Openai Models written by Valentina Alto and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Computers categories.

Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore the theory behind generative AI models and the road to GPT3 and GPT4 Become familiar with ChatGPT's applications to boost everyday productivity Learn to embed OpenAI models into applications using lightweight frameworks like LangChain Book Description Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data. Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster. You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications. By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects. What you will learn Understand generative AI concepts from basic to intermediate level Focus on the GPT architecture for generative AI models Maximize ChatGPT's value with an effective prompt design Explore applications and use cases of ChatGPT Use OpenAI models and features via API calls Build and deploy generative AI systems with Python Leverage Azure infrastructure for enterprise-level use cases Ensure responsible AI and ethics in generative AI systems Who this book is for This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models. A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.

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Programming Large Language Models With Azure Open Ai

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