Generative Ai With Microsoft Azure Practical Handbook

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Generative AI with Microsoft Azure – Practical Handbook

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 98 pages
Book Rating : 4./5 ( download)

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Book Synopsis Generative AI with Microsoft Azure – Practical Handbook by : Anand Vemula

Download or read book Generative AI with Microsoft Azure – Practical Handbook written by Anand Vemula and published by Anand Vemula. This book was released on with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Generative AI with Microsoft Azure" is a comprehensive guide that explores the integration of generative artificial intelligence (AI) with Azure's robust platform, highlighting the transformative potential of AI across various industries. The book is structured into five key parts, each delving into different aspects of generative AI and its applications on Azure. **Part I: Introduction to Generative AI and Microsoft Azure** provides a foundational understanding of generative AI, including its definitions, applications, and the different models like GANs, VAEs, and Transformers. It also introduces Microsoft Azure, guiding readers through setting up an Azure account, and exploring Azure AI and machine learning services. **Part II: Generative Models on Azure** dives into the implementation of specific generative models on Azure. It covers setting up and training Generative Adversarial Networks (GANs), building and deploying Variational Autoencoders (VAEs), and implementing advanced language models like GPT and BERT. This section emphasizes the practical steps and Azure tools necessary for working with these models. **Part III: Advanced Topics and Use Cases** explores specialized applications of generative AI, such as image and video generation, natural language generation (NLG), and conversational agents. It showcases real-world use cases and how Azure services, like Cognitive Services and Bot Service, enhance these applications, offering insights into their implementation and impact. **Part IV: Deployment and Scaling** focuses on the practicalities of deploying generative AI models on Azure. It discusses best practices for deployment, the use of Azure Kubernetes Service (AKS) for container orchestration, and techniques for monitoring and managing models. The section also covers strategies for scaling AI solutions effectively using Azure’s infrastructure, with an emphasis on cost management and optimization. **Part V: Case Studies and Future Trends** presents industry-specific case studies demonstrating the application of generative AI in healthcare, finance, and creative industries. It concludes with a forward-looking perspective on emerging technologies, ethical considerations, and the future trajectory of generative AI on Azure, highlighting the importance of responsible AI practices. Overall, "Generative AI with Microsoft Azure" serves as an essential resource for professionals and enthusiasts looking to leverage Azure's capabilities to harness the power of generative AI, offering practical guidance, real-world applications, and insights into future advancements.

Generative AI with Microsoft Azure – Practical Handbook

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 98 pages
Book Rating : 4./5 ( download)

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Book Synopsis Generative AI with Microsoft Azure – Practical Handbook by : Anand Vemula

Generative AI in the Courtroom: A Practical Handbook for Modern Justice

Author : Aspire K Swaminathan, Anita Thomas
Publisher : Notion Press
ISBN 13 :
Total Pages : 257 pages
Book Rating : 4.8/5 (958 download)

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Book Synopsis Generative AI in the Courtroom: A Practical Handbook for Modern Justice by : Aspire K Swaminathan, Anita Thomas

Download or read book Generative AI in the Courtroom: A Practical Handbook for Modern Justice written by Aspire K Swaminathan, Anita Thomas and published by Notion Press. This book was released on 2024-10-30 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI in the Courtroom: A Practical Handbook for Modern Justice offers a groundbreaking look at how cutting-edge technology can transform the legal system. Co-authored by Aspire K Swaminathan, a serial entrepreneur and doctoral scholar in Generative AI, and Anita Thomas, a seasoned lawyer with over 30 years of practice, this book addresses one of the most pressing challenges in today’s judiciary—efficiency. In a legal ecosystem often bogged down by delays and inefficiencies, this handbook provides a practical roadmap for integrating AI into courtrooms. From enhancing legal research to drafting documents and assisting judges in decision-making, the book explores real-world applications of AI to improve access to justice. It balances technical insight with ethical considerations, offering clear, actionable strategies for legal professionals at every level. Whether you’re a lawyer, judge, policymaker, or simply curious about the future of law, this book provides a glimpse into how technology can modernize the judiciary and bring justice closer to those who need it most."

Azure OpenAI Service for Cloud Native Applications

Author : Adrián González Sánchez
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098154967
Total Pages : 249 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Azure OpenAI Service for Cloud Native Applications by : Adrián González Sánchez

Download or read book Azure OpenAI Service for Cloud Native Applications written by Adrián González Sánchez and published by "O'Reilly Media, Inc.". This book was released on 2024-06-27 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Microsoft Azure AI Fundamentals AI-900 Exam Guide

Author : Aaron Guilmette
Publisher : Packt Publishing Ltd
ISBN 13 : 1835885675
Total Pages : 288 pages
Book Rating : 4.8/5 (358 download)

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Book Synopsis Microsoft Azure AI Fundamentals AI-900 Exam Guide by : Aaron Guilmette

Download or read book Microsoft Azure AI Fundamentals AI-900 Exam Guide written by Aaron Guilmette and published by Packt Publishing Ltd. This book was released on 2024-05-31 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get ready to pass the certification exam on your first attempt by gaining actionable insights into AI concepts, ML techniques, and Azure AI services covered in the latest AI-900 exam syllabus from two industry experts Key Features Discover Azure AI services, including computer vision, Auto ML, NLP, and OpenAI Explore AI use cases, such as image identification, chatbots, and more Work through 145 practice questions under chapter-end self-assessments and mock exams Purchase of this book unlocks access to web-based exam prep resources, including mock exams, flashcards, and exam tips Book Description The AI-900 exam helps you take your first step into an AI-shaped future. Regardless of your technical background, this book will help you test your understanding of the key AI-related topics and tools used to develop AI solutions in Azure cloud. This exam guide focuses on AI workloads, including natural language processing (NLP) and large language models (LLMs). You'll explore Microsoft's responsible AI principles like safety and accountability. Then, you'll cover the basics of machine learning (ML), including classification and deep learning, and learn how to use training and validation datasets with Azure ML. Using Azure AI Vision, face detection, and Video Indexer services, you'll get up to speed with computer vision-related topics like image classification, object detection, and facial detection. Later chapters cover NLP features such as key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, speech, and translator services. The book also guides you through identifying GenAI models and leveraging Azure OpenAI Service for content generation. At the end of each chapter, you'll find chapter review questions with answers, provided as an online resource. By the end of this exam guide, you'll be able to work with AI solutions in Azure and pass the AI-900 exam using the online exam prep resources. What you will learn Discover various types of artificial intelligence (AI)workloads and services in Azure Cover Microsoft's guiding principles for responsible AI development and use Understand the fundamental principles of how AI and machine learning work Explore how AI models can recognize content in images and documents Gain insights into the features and use cases for natural language processing Explore the capabilities of generative AI services Who this book is for Whether you're a cloud engineer, software developer, an aspiring data scientist, or simply interested in learning AI/ML concepts and capabilities on Azure, this book is for you. The book also serves as a foundation for those looking to attempt more advanced AI and data science-related certification exams (e.g. Microsoft Certified: Azure AI Engineer Associate). Although no experience in data science and software engineering is required, basic knowledge of cloud concepts and client-server applications is assumed.

Azure Data and AI Architect Handbook

Author : Olivier Mertens
Publisher : Packt Publishing Ltd
ISBN 13 : 1803230738
Total Pages : 284 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Azure Data and AI Architect Handbook by : Olivier Mertens

Download or read book Azure Data and AI Architect Handbook written by Olivier Mertens and published by Packt Publishing Ltd. This book was released on 2023-07-31 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master core data architecture design concepts and Azure Data & AI services to gain a cloud data and AI architect’s perspective to developing end-to-end solutions Purchase of the print or Kindle book includes a free PDF eBook Key Features Translate and implement conceptual architectures with the right Azure services Inject artificial intelligence into data solutions for advanced analytics Leverage cloud computing and frameworks to drive data science workloads Book DescriptionWith data’s growing importance in businesses, the need for cloud data and AI architects has never been higher. The Azure Data and AI Architect Handbook is designed to assist any data professional or academic looking to advance their cloud data platform designing skills. This book will help you understand all the individual components of an end-to-end data architecture and how to piece them together into a scalable and robust solution. You’ll begin by getting to grips with core data architecture design concepts and Azure Data & AI services, before exploring cloud landing zones and best practices for building up an enterprise-scale data platform from scratch. Next, you’ll take a deep dive into various data domains such as data engineering, business intelligence, data science, and data governance. As you advance, you’ll cover topics ranging from learning different methods of ingesting data into the cloud to designing the right data warehousing solution, managing large-scale data transformations, extracting valuable insights, and learning how to leverage cloud computing to drive advanced analytical workloads. Finally, you’ll discover how to add data governance, compliance, and security to solutions. By the end of this book, you’ll have gained the expertise needed to become a well-rounded Azure Data & AI architect.What you will learn Design scalable and cost-effective cloud data platforms on Microsoft Azure Explore architectural design patterns with various use cases Determine the right data stores and data warehouse solutions Discover best practices for data orchestration and transformation Help end users to visualize data using interactive dashboarding Leverage OpenAI and custom ML models for advanced analytics Manage security, compliance, and governance for the data estate Who this book is forThis book is for anyone looking to elevate their skill set to the level of an architect. Data engineers, data scientists, business intelligence developers, and database administrators who want to learn how to design end-to-end data solutions and get a bird’s-eye view of the entire data platform will find this book useful. Although not required, basic knowledge of databases and data engineering workloads is recommended.

The Potential of Generative AI

Author : Divit Gupta
Publisher : BPB Publications
ISBN 13 : 935551672X
Total Pages : 418 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis The Potential of Generative AI by : Divit Gupta

Download or read book The Potential of Generative AI written by Divit Gupta and published by BPB Publications. This book was released on 2024-01-06 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveiling the power and potential of Generative AI for a limitless future KEY FEATURES ● Holistic and accessible journey into Generative AI. ● Indispensable guide for unleashing Generative AI potential. ● Transforming technology, business, art, and innovation, covering technological advancements and business optimization. DESCRIPTION The Potential of Generative AI invites you for a captivating journey into the revolutionary technology, where machines become co-creators and the line between imagination and reality blurs. You will learn how AI helps doctors, engineers, and scientists solve real-world problems. Next, you will explore use cases where ChatGPT can boost productivity and enhance creativity. The book explores the journey from the origins of this revolutionary technology to its cutting-edge applications. Discover how generative models like GANs and VAEs work, and familiarize yourself with the impact they are making in fields like healthcare, finance, and art. Through real-world case studies and engaging examples, you will witness AI generating life-saving drugs, composing music, and even designing innovative products. This book explores the cutting-edge capabilities and potential of generative AI in the tech landscape. It will help you discover how generative AI can unlock new opportunities and enhance business operations. WHAT YOU WILL LEARN ● Learn about the different types of generative models, how they work, and their impact across various industries including healthcare, finance, and entertainment. ● Explore the creative potential of generative AI in art, music, and design. ● Develop Generative Adversarial Networks (GANs), with a focus on their architecture, training process, and real-world applications. ● Build and deploy generative models, ensuring readers to leverage this powerful technology. ● Perfect the art of generating text, images, music, and even code with AI, utilize your creative potential. WHO THIS BOOK IS FOR This book is for artists, programmers, musicians, designers, writers, researchers, entrepreneurs, scientists, Machine Learning practitioners and dreamers of all sorts. Generative AI awaits and is ready to transform your craft and empower your vision. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Generative AI in Industries 3. Fundamentals of Generative Models 4. Applications Across Industries 5. Creative Expression with Generative AI 6. Generative AI in Business and Innovation 7. Deep Dive into GANs 8. Building and Deploying Generative Models

Cloud Native Development with Azure

Author : Pavan Verma
Publisher : BPB Publications
ISBN 13 : 9355517718
Total Pages : 300 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Cloud Native Development with Azure by : Pavan Verma

Download or read book Cloud Native Development with Azure written by Pavan Verma and published by BPB Publications. This book was released on 2024-03-19 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develop cloud-native skills by learning Azure cloud infrastructure offerings KEY FEATURES ● Master cloud-native development fundamentals and Azure services. ● Application security, monitoring, and efficient management. ● Explore advanced services like Azure Machine Learning & IoT Hub. DESCRIPTION Azure is a powerful cloud computing platform with a wide range of services. Reading this book can help you gain an in-depth understanding of these services and how to use them effectively. Being one of the most popular cloud computing platforms, having knowledge and skills in Azure can be a valuable asset in your career. Explore Microsoft Azure for cloud-native development. Understand its basics, benefits, and services. Learn about identity management, compute resources, and application building. Discover containerization with Azure Kubernetes Service and Azure Container Registry. Dive into microservices architecture and serverless development with Azure Functions. Understand security, monitoring, logging, and CI/CD pipelines with Azure DevOps. Finally, explore advanced services like Azure Machine Learning and Azure IoT Hub, with real-world case studies and insights into future trends. Azure is constantly evolving, with new features and services being added regularly. Reading books on Azure cloud can help you stay up-to-date with the latest developments in the platform and keep your skills current. WHAT YOU WILL LEARN ● Design and build scalable cloud-native apps. ● Utilize Azure services for identity, compute, and storage. ● Implement containerization for efficient packaging and deployment. ● Secure applications with robust Azure security features. ● Manage and monitor applications for optimal performance and reliability. WHO THIS BOOK IS FOR This book is ideal for software developers, architects, and cloud engineers looking to build and deploy modern, scalable applications on the Microsoft Azure cloud platform. TABLE OF CONTENTS 1. Introduction to cloud and cloud native development 2. Azure Services for Cloud Native Development 3. Data Storage Services on Azure Cloud 4. Azure Kubernetes and Container Registry 5. Developing Applications on Azure 6. Monitoring And Logging Applications on Azure 7. Security and Governance on Azure 8. Deploying Applications on Azure 9. Advance Azure Services 10. Case Studies and best practice 11. Generative AI and Future Trends

Enterprise AI in the Cloud

Author : Rabi Jay
Publisher : John Wiley & Sons
ISBN 13 : 1394213069
Total Pages : 763 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Enterprise AI in the Cloud by : Rabi Jay

Download or read book Enterprise AI in the Cloud written by Rabi Jay and published by John Wiley & Sons. This book was released on 2023-12-20 with total page 763 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embrace emerging AI trends and integrate your operations with cutting-edge solutions Enterprise AI in the Cloud: A Practical Guide to Deploying End-to-End Machine Learning and ChatGPT Solutions is an indispensable resource for professionals and companies who want to bring new AI technologies like generative AI, ChatGPT, and machine learning (ML) into their suite of cloud-based solutions. If you want to set up AI platforms in the cloud quickly and confidently and drive your business forward with the power of AI, this book is the ultimate go-to guide. The author shows you how to start an enterprise-wide AI transformation effort, taking you all the way through to implementation, with clearly defined processes, numerous examples, and hands-on exercises. You’ll also discover best practices on optimizing cloud infrastructure for scalability and automation. Enterprise AI in the Cloud helps you gain a solid understanding of: AI-First Strategy: Adopt a comprehensive approach to implementing corporate AI systems in the cloud and at scale, using an AI-First strategy to drive innovation State-of-the-Art Use Cases: Learn from emerging AI/ML use cases, such as ChatGPT, VR/AR, blockchain, metaverse, hyper-automation, generative AI, transformer models, Keras, TensorFlow in the cloud, and quantum machine learning Platform Scalability and MLOps (ML Operations): Select the ideal cloud platform and adopt best practices on optimizing cloud infrastructure for scalability and automation AWS, Azure, Google ML: Understand the machine learning lifecycle, from framing problems to deploying models and beyond, leveraging the full power of Azure, AWS, and Google Cloud platforms AI-Driven Innovation Excellence: Get practical advice on identifying potential use cases, developing a winning AI strategy and portfolio, and driving an innovation culture Ethical and Trustworthy AI Mastery: Implement Responsible AI by avoiding common risks while maintaining transparency and ethics Scaling AI Enterprise-Wide: Scale your AI implementation using Strategic Change Management, AI Maturity Models, AI Center of Excellence, and AI Operating Model Whether you're a beginner or an experienced AI or MLOps engineer, business or technology leader, or an AI student or enthusiast, this comprehensive resource empowers you to confidently build and use AI models in production, bridging the gap between proof-of-concept projects and real-world AI deployments. With over 300 review questions, 50 hands-on exercises, templates, and hundreds of best practice tips to guide you through every step of the way, this book is a must-read for anyone seeking to accelerate AI transformation across their enterprise.

Practical Guide to Azure Cognitive Services

Author : Chris Seferlis
Publisher : Packt Publishing Ltd
ISBN 13 : 1801810605
Total Pages : 454 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis Practical Guide to Azure Cognitive Services by : Chris Seferlis

Download or read book Practical Guide to Azure Cognitive Services written by Chris Seferlis and published by Packt Publishing Ltd. This book was released on 2023-05-12 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Streamline your complex processes and optimize your organization's operational efficiency, cost-effectiveness, and customer experience by unlocking the potential of Microsoft Azure Cognitive Services and OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features Minimize costs and maximize operations by automating mundane activities using AI tools Ideate solutions using real-world examples for manufacturing process improvement with AI Master TCO and ROI analysis for implementing AI solutions, automating operations, and ideating innovative manufacturing solutions with real-world examples Book Description Azure Cognitive Services and OpenAI are a set of pre-built artificial intelligence (AI) solution APIs that can be leveraged from existing applications, allowing customers to take advantage of Microsoft's award-winning Vision, Speech, Text, Decision, and GPT-4 AI capabilities. With Practical Guide to Azure Cognitive Services, you'll work through industry-specific examples of implementations to get a head-start in your production journey. You'll begin with an overview of the categorization of Azure Cognitive Services and the benefits of embracing AI solutions for practical business applications. After that, you'll explore the benefits of using Azure Cognitive Services to optimize efficiency and improve predictive capabilities. Then, you'll learn how to leverage Vision capabilities for quality control, Form Recognizer to streamline supply chain nuances, language understanding to improve customer service, and Cognitive Search for next-generation knowledge-mining solutions. By the end of this book, you'll be able to implement various Cognitive Services solutions that will help you enhance efficiency, reduce costs, and improve the customer experience at your organization. You'll also be well equipped to automate mundane tasks by reaping the full potential of OpenAI. What you will learn Master cost-effective deployment of Azure Cognitive Services Develop proven solutions from an architecture and development standpoint Understand how Cognitive Services are deployed and customized Evaluate various uses of Cognitive Services with different mediums Disseminate Azure costs for Cognitive Services workloads smoothly Deploy next-generation Knowledge Mining solutions with Cognitive Search Explore the current and future journey of OpenAI Understand the value proposition of different AI projects Who this book is for This book is for data scientists, technology leaders, and software engineers looking to implement Azure Cognitive Services with the help of sample use cases derived from success stories. Experience with Python as well as an overall understanding of the Azure Portal with related services such as Azure Data Lake Storage and Azure Functions will help you make the most of this book.

The Generative AI Practitioner’s Guide

Author : Arup Das
Publisher : TinyTechMedia LLC
ISBN 13 :
Total Pages : 103 pages
Book Rating : 4.9/5 (911 download)

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Book Synopsis The Generative AI Practitioner’s Guide by : Arup Das

Download or read book The Generative AI Practitioner’s Guide written by Arup Das and published by TinyTechMedia LLC. This book was released on 2024-07-20 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI is revolutionizing the way organizations leverage technology to gain a competitive edge. However, as more companies experiment with and adopt AI systems, it becomes challenging for data and analytics professionals, AI practitioners, executives, technologists, and business leaders to look beyond the buzz and focus on the essential questions: Where should we begin? How do we initiate the process? What potential pitfalls should we be aware of? This TinyTechGuide offers valuable insights and practical recommendations on constructing a business case, calculating ROI, exploring real-life applications, and considering ethical implications. Crucially, it introduces five LLM patterns—author, retriever, extractor, agent, and experimental—to effectively implement GenAI systems within an organization. The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications bridges critical knowledge gaps for business leaders and practitioners, equipping them with a comprehensive toolkit to define a business case and successfully deploy GenAI. In today’s rapidly evolving world, staying ahead of the competition requires a deep understanding of these five implementation patterns and the potential benefits and risks associated with GenAI. Designed for business leaders, tech experts, and IT teams, this book provides real-life examples and actionable insights into GenAI’s transformative impact on various industries. Empower your organization with a competitive edge in today’s marketplace using The Generative AI Practitioner’s Guide: How to Apply LLM Patterns for Enterprise Applications. Remember, it’s not the tech that’s tiny, just the book!™

Generative AI in Action

Author : Amit Bahree
Publisher : Simon and Schuster
ISBN 13 : 1633436942
Total Pages : 462 pages
Book Rating : 4.6/5 (334 download)

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Book Synopsis Generative AI in Action by : Amit Bahree

Download or read book Generative AI in Action written by Amit Bahree and published by Simon and Schuster. This book was released on 2024-10-29 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI can transform your business by streamlining the process of creating text, images, and code. This book will show you how to get in on the action! Generative AI in Action is the comprehensive and concrete guide to generative AI you’ve been searching for. It introduces both AI’s fundamental principles and its practical applications in an enterprise context—from generating text and images for product catalogs and marketing campaigns, to technical reporting, and even writing software. Inside, author Amit Bahree shares his experience leading Generative AI projects at Microsoft for nearly a decade, starting well before the current GPT revolution. Inside Generative AI in Action you will find: • A practical overview of of generative AI applications • Architectural patterns, integration guidance, and best practices for generative AI • The latest techniques like RAG, prompt engineering, and multi-modality • The challenges and risks of generative AI like hallucinations and jailbreaks • How to integrate generative AI into your business and IT strategy Generative AI in Action is full of real-world use cases for generative AI, showing you where and how to start integrating this powerful technology into your products and workflows. You’ll benefit from tried-and-tested implementation advice, as well as application architectures to deploy GenAI in production at enterprise scale. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology In controlled environments, deep learning systems routinely surpass humans in reading comprehension, image recognition, and language understanding. Large Language Models (LLMs) can deliver similar results in text and image generation and predictive reasoning. Outside the lab, though, generative AI can both impress and fail spectacularly. So how do you get the results you want? Keep reading! About the book Generative AI in Action presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully and safely. In it, you’ll find practical approaches for incorporating AI into marketing, software development, business report generation, data storytelling, and other typically-human tasks. You’ll explore the emerging patterns for GenAI apps, master best practices for prompt engineering, and learn how to address hallucination, high operating costs, the rapid pace of change and other common problems. What's inside • Best practices for deploying Generative AI apps • Production-quality RAG • Adapting GenAI models to your specific domain About the reader For enterprise architects, developers, and data scientists interested in upgrading their architectures with generative AI. About the author Amit Bahree is Principal Group Product Manager for the Azure AI engineering team at Microsoft. The technical editor on this book was Wee Hyong Tok. Table of Contents Part 1 1 Introduction to generative AI 2 Introduction to large language models 3 Working through an API: Generating text 4 From pixels to pictures: Generating images 5 What else can AI generate? Part 2 6 Guide to prompt engineering 7 Retrieval-augmented generation: The secret weapon 8 Chatting with your data 9 Tailoring models with model adaptation and fine-tuning Part 3 10 Application architecture for generative AI apps 11 Scaling up: Best practices for production deployment 12 Evaluations and benchmarks 13 Guide to ethical GenAI: Principles, practices, and pitfalls A The book’s GitHub repository B Responsible AI tools

Microsoft Dynamics 365 AI for Business Insights

Author : Dmitry Shargorodsky
Publisher : Packt Publishing Ltd
ISBN 13 : 180181242X
Total Pages : 178 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis Microsoft Dynamics 365 AI for Business Insights by : Dmitry Shargorodsky

Download or read book Microsoft Dynamics 365 AI for Business Insights written by Dmitry Shargorodsky and published by Packt Publishing Ltd. This book was released on 2024-03-29 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Streamline your business operations by leveraging AI across key functions using practical examples and insightful case studies Key Features Uncover the practical applications of Dynamics 365 AI across sales, customer service, marketing, and finance Explore Dynamics 365’s integration with advanced AI tools such as OpenAI, Azure Open AI, and MS Copilot Learn from real-world examples and case studies Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIf there is one hot topic being discussed in every boardroom meeting today, it’s AI. With Microsoft Dynamics 365 AI proving to be a game-changer, it’s essential for business professionals to master this tool. Microsoft Dynamics 365 AI for Business Insights will help you harness AI across key business functions to streamline processes and enhance customer experiences. Written by a seasoned professional with 15+ years of experience, this book guides you through Dynamics 365 AI’s practical applications across sales, customer service, marketing, and finance departments. You'll learn how to enhance customer experiences, streamline sales processes, optimize marketing strategies, and improve financial forecasting. This book also explores the integration of generative AI tools such as OpenAI Service, Azure Open AI, language models, and Microsoft Copilot within the Dynamics 365 ecosystem. With real-world examples, case studies, and expert insights, you’ll discover the transformative potential of this powerful toolkit. As well as driving sales insights and implementing fraud protection, you’ll explore emerging AI trends, Microsoft's roadmap for Dynamics 365 AI, and the upcoming features. By the end, you’ll be all set to unlock new growth opportunities using Dynamics 365 AI. What you will learn Overcome common challenges in Dynamics 365 AI implementation with ease Delve into the practical applications of advanced generative AI tools Integrate cutting-edge tools such as OpenAI Service, Azure Open AI, language models, and Microsoft Copilot with Dynamics 365 AI Derive insights from real-world examples of successful AI implementation Discover best practices and strategies for leveraging AI to find useful business insights and enhance operations Explore Microsoft's roadmap for Dynamics 365 AI and the forthcoming trends in AI for business Who this book is for This book is for Dynamics 365 consultants, architects, and IT managers, willing to implement AI in their organizations. Business consultants advising on business technology, especially those focused on Microsoft Dynamics 365, will find it useful for enhancing their skills. A basic understanding of Microsoft Dynamics 365 and its suite of business applications will be beneficial as the book’s focus is on implementing the tool’s AI modules. Familiarity with the principles of artificial intelligence and how it is applied in a business context will also be helpful.

Learn Microsoft Fabric

Author : Arshad Ali
Publisher : Packt Publishing Ltd
ISBN 13 : 1835084346
Total Pages : 338 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Learn Microsoft Fabric by : Arshad Ali

Download or read book Learn Microsoft Fabric written by Arshad Ali and published by Packt Publishing Ltd. This book was released on 2024-02-29 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the power of Microsoft Fabric to develop data analytics solutions for various use cases guided by step-by-step instructions Key Features Explore Microsoft Fabric and its features through real-world examples Build data analytics solutions for lakehouses, data warehouses, real-time analytics, and data science Monitor, manage, and administer your Fabric platform and analytics system to ensure flexibility, performance, security, and control Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDiscover the capabilities of Microsoft Fabric, the premier unified solution designed for the AI era, seamlessly combining data integration, OneLake, transformation, visualization, universal security, and a unified business model. This book provides an overview of Microsoft Fabric, its components, and the wider analytics landscape. In this book, you'll explore workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse, real-time analytics, and Power BI. You’ll learn how to build end-to-end lakehouse and data warehouse solutions using the medallion architecture, unlock the real-time analytics, and implement machine learning and AI models. As you progress, you’ll build expertise in monitoring workloads and administering Fabric across tenants, capacities, and workspaces. The book also guides you step by step through enhancing security and governance practices in Microsoft Fabric and implementing CI/CD workflows with Azure DevOps or GitHub. Finally, you’ll discover the power of Copilot, an AI-driven assistant that accelerates your analytics journey. By the end of this book, you’ll have unlocked the full potential of AI-driven data analytics, gaining a comprehensive understanding of the analytics landscape and mastery over the essential concepts and principles of Microsoft Fabric.What you will learn Get acquainted with the different services available in Microsoft Fabric Build end-to-end data analytics solution to scale and manage high performance Integrate data from different types of data sources Apply transformation with Spark, Notebook, and T-SQL Understand and implement real-time stream processing and data science capabilities Perform end-to-end processes for building data analytics solutions in the AI era Drive insights by leveraging Power BI for reporting and visualization Improve productivity with AI assistance and Copilot integration Who this book is for This book is for data professionals, including data analysts, data engineers, data scientists, data warehouse developers, ETL developers, business analysts, AI/ML professionals, software developers, and Chief Data Officers who want to build a future-ready data analytics solution for long-term success in the AI era. For PySpark and SQL students entering the data analytics field, this book offers a broad foundation for developing the skills to build end-to-end analytics systems for various use cases. Basic knowledge of SQL and Spark is assumed.

Generative AI in Practice

Author : Bernard Marr
Publisher : John Wiley & Sons
ISBN 13 : 1394245564
Total Pages : 313 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Generative AI in Practice by : Bernard Marr

Download or read book Generative AI in Practice written by Bernard Marr and published by John Wiley & Sons. This book was released on 2024-03-25 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the future as we journey through the next frontier of technological advancement Generative AI isn't just the biggest trend right now; it's the pinnacle of today's technological evolution. Beyond the capabilities of ChatGPT and similar AIs that can generate written content and artwork, GenAI is rewriting the rulebook. From crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs, the horizons are limitless. Picture a world where your daily news is read by your favorite celebrity, where video games conjure unparalleled universes in real-time, where machines concoct groundbreaking medicines, and where literature and courses are tailored flawlessly for you. In Generative AI in Practice, renowned futurist Bernard Marr offers readers a deep dive into the captivating universe of GenAI. This comprehensive guide not only introduces the uninitiated to this groundbreaking technology but outlines the profound and unprecedented impact of GenAI on the fabric of business and society. It's set to redefine all our jobs, revolutionize business operations, and question the very foundations of existing business models. Beyond merely altering, GenAI promises to elevate the products and services at the heart of enterprises and intricately weave itself into the tapestry of our daily lives. Through 19 enriching chapters, Marr canvases a vast array of sectors, shedding light on the most innovative real-world GenAI applications through practical examples and how they are molding the contours of various industries including retail, healthcare, education, and finance. Marr discusses the exciting innovations in media and entertainment to the seismic shifts in advertising, customer engagement and beyond, but also critically addresses the risks, challenges, and the future trajectory of GenAI. Throughout the pages of this book, you will: Navigate the complex landscapes of risks and challenges posed by GenAI. Delve into the revolutionary transformation of the job market in the age of GenAI. Discover how retail is evolving with virtual try-ons and AI-powered personalization. Dive deep into the transformative impact on education, offering truly personalized learning experiences. Witness the metamorphosis of healthcare, from AI-aided drug discoveries to custom advice. Explore the boundless potentials in media, design, banking, coding, and even the legal arena. Ideal for professionals, technophiles, and anyone eager to understand the next big thing in technology and its monumental impact on our world, Generative AI In Practice will equip readers with insights on how to implement GenAI, how GenAI is different to traditional AI, and a comprehensive list of generative AI tools in the appendix.

The AI Revolution in Customer Service and Support

Author : Ross Smith
Publisher : Pearson Education
ISBN 13 : 0138286655
Total Pages : 467 pages
Book Rating : 4.1/5 (382 download)

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Book Synopsis The AI Revolution in Customer Service and Support by : Ross Smith

Download or read book The AI Revolution in Customer Service and Support written by Ross Smith and published by Pearson Education. This book was released on 2024-07-16 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving AI landscape, customer service and support professionals find themselves in a prime position to take advantage of this innovative technology to drive customer success. The AI Revolution in Customer Service and Support is a practical guide for professionals who want to harness the power of generative AI within their organizations to create more powerful customer and employee experiences. This book is designed to equip you with the knowledge and confidence to embrace the AI revolution and integrate the technology, such as large language models (LLMs), machine learning, predictive analytics, and gamified learning, into the customer experience. Start your journey toward leveraging this technology effectively to optimize organizational productivity. A portion of the book’s proceeds will be donated to the nonprofit Future World Alliance, dedicated to K-12 AI ethics education. IN THIS BOOK YOU’LL LEARN About AI, machine learning, and data science How to develop an AI vision for your organization How and where to incorporate AI technology in your customer experience fl ow About new roles and responsibilities for your organization How to improve customer experience while optimizing productivity How to implement responsible AI practices How to strengthen your culture across all generations in the workplace How to address concerns and build strategies for reskilling and upskilling your people How to incorporate games, play, and other techniques to engage your agents with AI Explore thought experiments for the future of support in your organization “Insightful & comprehensive—if you run a service & support operation, put this book on your essential reading list right now!” —PHIL WOLFENDEN, Cisco, VP, Customer Experience “This book is both timely and relevant as we enter an unprecedented period in our industry and the broader world driven by Generative AI. The magnitude and speed of change we’re experiencing is astounding and this book does an outstanding job balancing technical knowledge with the people and ethical considerations we must also keep front of mind.” —BRYAN BELMONT, Microsoft, Corporate VP, Customer Service & Support “The authors of this book are undoubtedly on the front lines of operationalizing Gen AI implementations in customer support environments... and they know undoubtedly that at its core, support is about people and genuine human connections. This book walks you through their journey to keep people at the center of this technical tsunami.” —PHAEDRA BOINODIRIS, Author, AI for the Rest of Us

The Self-Taught Cloud Computing Engineer

Author : Dr. Logan Song
Publisher : Packt Publishing Ltd
ISBN 13 : 180512868X
Total Pages : 472 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis The Self-Taught Cloud Computing Engineer by : Dr. Logan Song

Download or read book The Self-Taught Cloud Computing Engineer written by Dr. Logan Song and published by Packt Publishing Ltd. This book was released on 2023-09-22 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transform into a cloud-savvy professional by mastering cloud technologies through hands-on projects and expert guidance, paving the way for a thriving cloud computing career Key Features Learn all about cloud computing at your own pace with this easy-to-follow guide Develop a well-rounded skill set, encompassing fundamentals, data, machine learning, and security Work on real-world industrial projects and business use cases, and chart a path for your personal cloud career advancement Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Self-Taught Cloud Computing Engineer is a comprehensive guide to mastering cloud computing concepts by building a broad and deep cloud knowledge base, developing hands-on cloud skills, and achieving professional cloud certifications. Even if you’re a beginner with a basic understanding of computer hardware and software, this book serves as the means to transition into a cloud computing career. Starting with the Amazon cloud, you’ll explore the fundamental AWS cloud services, then progress to advanced AWS cloud services in the domains of data, machine learning, and security. Next, you’ll build proficiency in Microsoft Azure Cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds while distinguishing their unique features. You’ll further enhance your skills through practical experience on these platforms with real-life cloud project implementations. Finally, you’ll find expert guidance on cloud certifications and career development. By the end of this cloud computing book, you’ll have become a cloud-savvy professional well-versed in AWS, Azure, and GCP, ready to pursue cloud certifications to validate your skills.What you will learn Develop the core skills needed to work with cloud computing platforms such as AWS, Azure, and GCP Gain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environments Integrate cloud databases, big data, and machine learning services in multi-cloud environments Design and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the clouds Implement machine learning pipelines in a multi-cloud environment Secure cloud infrastructure ecosystems with advanced cloud security services Who this book is for Whether you're new to cloud computing or a seasoned professional looking to expand your expertise, this book is for anyone in the information technology domain who aspires to thrive in the realm of cloud computing. With this comprehensive roadmap, you’ll have the tools to build a successful cloud computing career.