Generative AI for Cloud Solutions

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1835080162
Total Pages : 301 pages
Book Rating : 4.8/5 (35 download)

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Book Synopsis Generative AI for Cloud Solutions by : Paul Singh

Download or read book Generative AI for Cloud Solutions written by Paul Singh and published by Packt Publishing Ltd. This book was released on 2024-04-22 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI Key Features Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI Peek into the future to explore emerging trends like multimodal AI and autonomous agents Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGenerative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements. By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.What you will learn Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore effective prompt engineering strategies Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI Who this book is for This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.

Mastering Generative AI for Cloud Solutions

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Author :
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (273 download)

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Book Synopsis Mastering Generative AI for Cloud Solutions by : Anand Vemula

Download or read book Mastering Generative AI for Cloud Solutions written by Anand Vemula and published by Independently Published. This book was released on 2024-06-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mastering Generative AI for Cloud Solutions" is a comprehensive guide that explores the intersection of generative AI and cloud computing. It covers foundational concepts of both fields, including key technologies and algorithms, and delves into practical applications across various domains like natural language processing, computer vision, healthcare, finance, and entertainment. Readers will learn about major cloud platforms (AWS, Azure, Google Cloud) and their AI services, along with essential infrastructure considerations. The book emphasizes practical implementation with a dedicated section on hands-on exercises, guiding readers through building and deploying AI models, enhancing images, developing chatbots, and generating synthetic data. These exercises provide step-by-step instructions and code snippets to help users apply the concepts learned. Additionally, it addresses ethical, legal, and regulatory issues, ensuring responsible AI usage. Future trends and emerging technologies are discussed, preparing readers for advancements in AI and cloud integration. This book is an essential resource for professionals and enthusiasts aiming to leverage generative AI in cloud environments.

Google Machine Learning and Generative AI for Solutions Architects

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Publisher : Packt Publishing Ltd
ISBN 13 : 1803247029
Total Pages : 552 pages
Book Rating : 4.8/5 (32 download)

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Book Synopsis Google Machine Learning and Generative AI for Solutions Architects by : Kieran Kavanagh

Download or read book Google Machine Learning and Generative AI for Solutions Architects written by Kieran Kavanagh and published by Packt Publishing Ltd. This book was released on 2024-06-28 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Architect and run real-world AI/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectively Key Features Understand key concepts, from fundamentals through to complex topics, via a methodical approach Build real-world end-to-end MLOps solutions and generative AI applications on Google Cloud Get your hands on a code repository with over 20 hands-on projects for all stages of the ML model development lifecycle Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost companies today are incorporating AI/ML into their businesses. Building and running apps utilizing AI/ML effectively is tough. This book, authored by a principal architect with about two decades of industry experience, who has led cross-functional teams to design, plan, implement, and govern enterprise cloud strategies, shows you exactly how to design and run AI/ML workloads successfully using years of experience from some of the world’s leading tech companies. You’ll get a clear understanding of essential fundamental AI/ML concepts, before moving on to complex topics with the help of examples and hands-on activities. This will help you explore advanced, cutting-edge AI/ML applications that address real-world use cases in today’s market. You’ll recognize the common challenges that companies face when implementing AI/ML workloads, and discover industry-proven best practices to overcome these. The chapters also teach you about the vast AI/ML landscape on Google Cloud and how to implement all the steps needed in a typical AI/ML project. You’ll use services such as BigQuery to prepare data; Vertex AI to train, deploy, monitor, and scale models in production; as well as MLOps to automate the entire process. By the end of this book, you will be able to unlock the full potential of Google Cloud's AI/ML offerings.What you will learn Build solutions with open-source offerings on Google Cloud, such as TensorFlow, PyTorch, and Spark Source, understand, and prepare data for ML workloads Build, train, and deploy ML models on Google Cloud Create an effective MLOps strategy and implement MLOps workloads on Google Cloud Discover common challenges in typical AI/ML projects and get solutions from experts Explore vector databases and their importance in Generative AI applications Uncover new Gen AI patterns such as Retrieval Augmented Generation (RAG), agents, and agentic workflows Who this book is for This book is for aspiring solutions architects looking to design and implement AI/ML solutions on Google Cloud. Although this book is suitable for both beginners and experienced practitioners, basic knowledge of Python and ML concepts is required. The book focuses on how AI/ML is used in the real world on Google Cloud. It briefly covers the basics at the beginning to establish a baseline for you, but it does not go into depth on the underlying mathematical concepts that are readily available in academic material.

Practical AI on the Google Cloud Platform

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Author :
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492075760
Total Pages : 394 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Practical AI on the Google Cloud Platform by : Micheal Lanham

Download or read book Practical AI on the Google Cloud Platform written by Micheal Lanham and published by "O'Reilly Media, Inc.". This book was released on 2020-10-20 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: Working with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video. Author Micheal Lanham demonstrates methods for building and training models step-by-step and shows you how to expand your models to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, you'll quickly get up to speed with Google Cloud Platform, whether you want to build an AI assistant or a simple business AI application. Learn key concepts for data science, machine learning, and deep learning Explore tools like Video AI and AutoML Tables Build a simple language processor using deep learning systems Perform image recognition using CNNs, transfer learning, and GANs Use Google's Dialogflow to create chatbots and conversational AI Analyze video with automatic video indexing, face detection, and TensorFlow Hub Build a complete working AI agent application

Azure OpenAI Service for Cloud Native Applications

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098154959
Total Pages : 275 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 275 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

THE FUTURE OF CLOUD: INTEGRATING AI, ML, AND GENERATIVE AI FOR SCALABLE SOLUTIONS

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Author :
Publisher : JEC PUBLICATION
ISBN 13 : 9361754424
Total Pages : 216 pages
Book Rating : 4.3/5 (617 download)

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Book Synopsis THE FUTURE OF CLOUD: INTEGRATING AI, ML, AND GENERATIVE AI FOR SCALABLE SOLUTIONS by : Chandrakanth Rao Madhavaram

Download or read book THE FUTURE OF CLOUD: INTEGRATING AI, ML, AND GENERATIVE AI FOR SCALABLE SOLUTIONS written by Chandrakanth Rao Madhavaram and published by JEC PUBLICATION. This book was released on with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: .....

Generative AI Business Applications

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Author :
Publisher : TinyTechMedia LLC
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.9/5 (893 download)

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Book Synopsis Generative AI Business Applications by : David E. Sweenor

Download or read book Generative AI Business Applications written by David E. Sweenor and published by TinyTechMedia LLC. This book was released on 2024-01-31 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the past year, generative AI has broken barriers and transformed how we think about what computers are truly capable of. But, with the marketing hype and generative AI washing of content, it’s increasingly difficult for business leaders and practitioners to go beyond the art of the possible and answer that critical question–how is generative AI actually being used in organizations? With over 70 real-world case studies and applications across 12 different industries and 11 departments, Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies fills a critical knowledge gap for business leaders and practitioners by providing examples of generative AI in action. Diving into the case studies, this TinyTechGuide discusses AI risks, implementation considerations, generative AI operations, AI ethics, and trustworthy AI. The world is transforming before our very eyes. Don’t get left behind—while understanding the powers and perils of generative AI. Full of use cases and real-world applications, this book is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI's transformative power. Gain a competitive edge in today's marketplace with Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies. Remember, it's not the tech that's tiny, just the book!™

Enterprise GENERATIVE AI Well-Architected Framework & Patterns

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1836202903
Total Pages : 114 pages
Book Rating : 4.8/5 (362 download)

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Book Synopsis Enterprise GENERATIVE AI Well-Architected Framework & Patterns by : Suvoraj Biswas

Download or read book Enterprise GENERATIVE AI Well-Architected Framework & Patterns written by Suvoraj Biswas and published by Packt Publishing Ltd. This book was released on 2024-04-04 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elevate your AI projects with our course on Enterprise Generative AI using AWS's Well-Architected Framework, paving the way for innovation and efficiency Key Features Learn to secure AI environments Achieve excellence in AI architecture Implement AI with AWS solutions Book DescriptionThe course begins with an insightful introduction to the burgeoning field of Generative AI, laying down a robust framework for understanding its applications within the AWS ecosystem. The course focuses on meticulously detailing the five pillars of the AWS Well-Architected Framework—Operational Excellence, Security, Compliance, Reliability, and Cost Optimization. Each module is crafted to provide you with a comprehensive understanding of these essential areas, integrating Generative AI technologies. You'll learn how to navigate the complexities of securing AI systems, ensuring they comply with legal and regulatory standards, and designing them for unparalleled reliability. Practical sessions on cost optimization strategies for AI projects will empower you to deliver value without compromising on performance or scalability. Furthermore, the course delves into System Architecture Excellence, emphasizing the importance of robust design principles in creating effective Generative AI solutions. The course wraps up by offering a forward-looking perspective on the Common Architectural Pattern for FM/LLM Integration & Adoption within the AWS framework. You'll gain hands-on experience with AWS solutions specifically tailored for Generative AI applications, including Lambda, API Gateway, and DynamoDB, among others.What you will learn Apply Operational Excellence in AI Secure Generative AI implementations Navigate compliance in AI solutions Ensure reliability in AI systems Optimize costs for AI projects Integrate FM/LLM with AWS solutions Who this book is for This course is designed for IT professionals, solutions architects, and DevOps engineers looking to specialize in Generative AI. A foundational understanding of AWS and cloud computing is beneficial.

The COMPETITIVE RELATIONSHIP BETWEEN CLOUD COMPUTING AND GENERATIVE AI

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (141 download)

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Book Synopsis The COMPETITIVE RELATIONSHIP BETWEEN CLOUD COMPUTING AND GENERATIVE AI by : CHRISTOPHE CARUGATI

Download or read book The COMPETITIVE RELATIONSHIP BETWEEN CLOUD COMPUTING AND GENERATIVE AI written by CHRISTOPHE CARUGATI and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Generative AI and Large Language Models

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Author :
Publisher : Aditya Pratap Bhuyan
ISBN 13 :
Total Pages : 109 pages
Book Rating : 4./5 ( download)

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Book Synopsis Generative AI and Large Language Models by : Aditya Pratap Bhuyan

Download or read book Generative AI and Large Language Models written by Aditya Pratap Bhuyan and published by Aditya Pratap Bhuyan. This book was released on 2024-07-24 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is reshaping our world, and at the forefront of this revolution are Generative AI and Large Language Models (LLMs). This book, "Generative AI and Large Language Models: Revolutionizing the Future," offers an in-depth exploration of these groundbreaking technologies, delving into their foundations, development, and profound implications for various industries and society as a whole. Starting with a historical overview of AI, the book traces the evolution of machine learning and deep learning, setting the stage for understanding the rise of generative AI. Readers will discover the inner workings of LLMs, from their advanced neural network architectures to the massive datasets and computational power required for their training. Key models, such as the Generative Pre-trained Transformer (GPT) series, are examined in detail, showcasing their remarkable capabilities in natural language processing and beyond. The book also addresses the ethical and social challenges posed by these powerful technologies. Issues such as bias, fairness, and privacy are discussed, alongside the need for transparent and accountable AI systems. Through real-world applications and case studies, readers will see how generative AI is transforming fields like healthcare, finance, content creation, and more. Looking ahead, the book explores future trends and innovations, highlighting potential advancements and the ongoing research aimed at enhancing AI's efficiency and multimodal capabilities. It envisions a future where AI and humans collaborate more closely, driving progress and innovation across all domains. "Generative AI and Large Language Models: Revolutionizing the Future" is an essential read for anyone interested in the cutting-edge of AI technology. Whether you are a researcher, practitioner, or simply curious about the future of AI, this book provides a comprehensive and accessible guide to the transformative power of generative AI and LLMs.

Generative AI for Enterprises

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Author :
Publisher : BPB Publications
ISBN 13 : 9355516975
Total Pages : 249 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Generative AI for Enterprises by : Vishal Anand

Download or read book Generative AI for Enterprises written by Vishal Anand and published by BPB Publications. This book was released on 2024-07-26 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: DESCRIPTION Generative AI can streamline technical and business processes, increase efficiency, and free up your resources’ time to focus on more strategic initiatives. This book takes the readers through a series of steps to deepen their understanding of the forces that shape an organization’s implementation of Generative AI at scale and successfully dealing with them. This book starts with GenAI potential uses, challenges and enterprise deployment strategies. You will learn to scale GenAI models along with LLMOps, choose the right LLM, and use prompt engineering and fine-tuning to customize the outputs. This book introduces a GenAI operating system as well as an orchestration platform for workflow automation. It discusses ethical considerations, designing a target operating model, cost optimization, Retrieval-augmented Generation (RAG), Model as a Service (MaaS), and Confidential AI. Finally, it explores the future of multi-modal AI assistants in enterprises. This book makes it easier for readers to debunk myths, and address fallacies and common misconceptions that could harm organizational investment and reputation. There are also practical and enterprise class scenarios and information that could help in improving implementations, within your organization, enabling you to achieve success beyond scaling challenges. KEY FEATURES ● Understand challenges and dimensions of model at scale. ● Understand model selection criteria, deployment patterns, and positioning. ● Design operating system and demarcation of landing zones. ● Understand enterprise application of prompt engineering and fine-tuning. ● Understand operating model, orchestration platform, multi AI assistants and ethical considerations. ● Understand various latency factors for Gen AI solutions. WHAT YOU WILL LEARN ● Strategies for scaling GenAI models and discovering LLMOps for managing them. ● How to leverage GenAI to streamline enterprise class processes, boost efficiency, and explore new possibilities. ● Implementations in the enterprise class deployments, addressing potential issues and connecting with enablers and accurate growth strategy and execution principles. WHO THIS BOOK IS FOR This book is for decision makers like CIOs, CTOs, CAIOs, Enterprise Architects, Chief Engineers, and anyone who wishes to learn how to have a rewarding implementation of Generative AI for their organizations and clients. TABLE OF CONTENTS 1. The Rise of Generative AI in Enterprises 2. Complex Needs of Production 3. Model Selection for Enterprises 4. Model Deployment for Enterprises 5. Operating System for Enterprises 6. Prompt Engineering for Enterprises 7. Fine-tuning for Enterprises 8. Orchestration of Generative AI Workflows 9. Six Ethical Dimensions for Enterprises 10. Designing a Target Operating Model 11. Cost Optimization Strategies 12. Retrieval-augmented Generation for Enterprises 13. Model as a Service for Enterprises 14. Confidential AI 15. Latency in Generative AI Solutions 16. Multi-modal Multi-agentic Assistant Framework for Enterprises

Generative AI Application Integration Patterns

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1835887619
Total Pages : 219 pages
Book Rating : 4.8/5 (358 download)

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Book Synopsis Generative AI Application Integration Patterns by : Juan Pablo Bustos

Download or read book Generative AI Application Integration Patterns written by Juan Pablo Bustos and published by Packt Publishing Ltd. This book was released on 2024-09-05 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the transformative potential of GenAI with this comprehensive guide that serves as an indispensable roadmap for integrating large language models into real-world applications. Gain invaluable insights into identifying compelling use cases, leveraging state-of-the-art models effectively, deploying these models into your applications at scale, and navigating ethical considerations. Key Features Get familiar with the most important tools and concepts used in real scenarios to design GenAI apps Interact with GenAI models to tailor model behavior to minimize hallucinations Get acquainted with a variety of strategies and an easy to follow 4 step frameworks for integrating GenAI into applications Book Description Explore the transformative potential of GenAI in the application development lifecycle. Through concrete examples, you will go through the process of ideation and integration, understanding the tradeoffs and the decision points when integrating GenAI. With recent advances in models like Google Gemini, Anthropic Claude, DALL-E and GPT-4o, this timely resource will help you harness these technologies through proven design patterns. We then delve into the practical applications of GenAI, identifying common use cases and applying design patterns to address real-world challenges. From summarization and metadata extraction to intent classification and question answering, each chapter offers practical examples and blueprints for leveraging GenAI across diverse domains and tasks. You will learn how to fine-tune models for specific applications, progressing from basic prompting to sophisticated strategies such as retrieval augmented generation (RAG) and chain of thought. Additionally, we provide end-to-end guidance on operationalizing models, including data prep, training, deployment, and monitoring. We also focus on responsible and ethical development techniques for transparency, auditing, and governance as crucial design patterns. What you will learn Concepts of GenAI: pre-training, fine-tuning, prompt engineering, and RAG Framework for integrating AI: entry points, prompt pre-processing, inference, post-processing, and presentation Patterns for batch and real-time integration Code samples for metadata extraction, summarization, intent classification, question-answering with RAG, and more Ethical use: bias mitigation, data privacy, and monitoring Deployment and hosting options for GenAI models Who this book is for This book is not an introduction to AI/ML or Python. It offers practical guides for designing, building, and deploying GenAI applications in production. While all readers are welcome, those who benefit most include: Developer engineers with foundational tech knowledge Software architects seeking best practices and design patterns Professionals using ML for data science, research, etc., who want a deeper understanding of Generative AI Technical product managers with a software development background This concise focus ensures practical, actionable insights for experienced professionals

GOOGLE MACHINE LEARNING AND GENERATIVE AI FOR SOLUTIONS ARCHITECTS

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Publisher :
ISBN 13 : 9781803245270
Total Pages : 0 pages
Book Rating : 4.2/5 (452 download)

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Book Synopsis GOOGLE MACHINE LEARNING AND GENERATIVE AI FOR SOLUTIONS ARCHITECTS by : KIERAN KAVANAGH (O.C.D.)

Download or read book GOOGLE MACHINE LEARNING AND GENERATIVE AI FOR SOLUTIONS ARCHITECTS written by KIERAN KAVANAGH (O.C.D.) and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Generative AI Business Applications

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Author :
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (329 download)

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Book Synopsis Generative AI Business Applications by : Anand Vemula

Download or read book Generative AI Business Applications written by Anand Vemula and published by Independently Published. This book was released on 2024-07-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Generative AI Business Applications" explores the transformative potential of generative artificial intelligence in various industries. This comprehensive guide delves into the core technologies, implementation strategies, and innovative use cases of generative AI, providing businesses with practical insights on leveraging this cutting-edge technology to drive growth and efficiency. The book begins with an introduction to generative AI, outlining its key concepts, technologies, and historical evolution. It examines how generative AI is transforming industries, highlighting both opportunities and challenges. Real-world case studies illustrate the significant impact of AI on business transformation. In the core section, the book explores various generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformers, detailing their architectures and applications. It emphasizes the importance of data preparation and management, covering data collection, cleaning, augmentation, and storage. The book also provides guidance on training generative models, including setting up training environments, developing model training workflows, and optimizing hyperparameters. The practical application of generative AI is covered extensively, showcasing its role in content creation and media, customer engagement and personalization, product and service innovation, and operational efficiency. Examples include automated content generation, generative art and design, personalized marketing campaigns, AI-driven customer service, and AI-enhanced product design. Implementation strategies are discussed in detail, focusing on integrating generative AI with existing systems through APIs, middleware, and cloud platforms. Best practices for deploying AI solutions, monitoring, maintenance, scalability, and performance optimization are provided. Ethical and regulatory considerations, such as addressing bias, ensuring transparency, and navigating legal frameworks, are also explored. The book concludes with advanced topics and future trends, predicting the future of generative AI in business and preparing organizations for the next wave of AI innovation. Hands-on projects and case studies offer practical experience, including building a text generation model for marketing, creating a generative art application, and developing a customer service chatbot. "Generative AI Business Applications" is an essential resource for business leaders, technologists, and AI enthusiasts seeking to harness the power of generative AI to drive innovation and achieve sustainable competitive advantage.

Generative AI Infrastructure

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Author :
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (337 download)

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Book Synopsis Generative AI Infrastructure by : Anand Vemula

Download or read book Generative AI Infrastructure written by Anand Vemula and published by Independently Published. This book was released on 2024-07-22 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Generative AI Infrastructure: Scaling and Performance Optimization" provides a comprehensive guide to the essential components and best practices for building, maintaining, and optimizing the infrastructure required for generative AI systems. The book is designed for AI practitioners, system architects, and IT professionals who aim to harness the full potential of generative AI technologies in a scalable and efficient manner. The book begins with an introduction to generative AI, covering its fundamental concepts and the importance of robust infrastructure in supporting AI workloads. It explores various generative models, including GANs and VAEs, and their diverse applications across industries such as healthcare, finance, and creative arts. A deep dive into hardware for generative AI follows, emphasizing the role of high-performance computing (HPC) and specialized processors like GPUs and TPUs. It also discusses the importance of suitable storage solutions and networking requirements to handle large datasets and intensive computations. The cloud infrastructure section delves into the offerings of major cloud providers like AWS, Azure, and Google Cloud, and provides practical guidance on setting up and managing AI workloads in the cloud. Topics such as cost management, data management, and the implementation of data pipelines are thoroughly covered, along with the latest storage architectures and data preprocessing techniques. In the chapters on scalability and performance optimization, readers will learn strategies for scaling AI workloads, tuning generative models for peak performance, and managing resources effectively. This includes insights into load balancing, resource allocation, and troubleshooting common issues. The book also addresses crucial aspects of security and compliance, providing best practices for securing AI infrastructure and ensuring adherence to regulatory requirements. Case studies in healthcare, finance, and creative industries illustrate real-world applications and the impact of generative AI. Concluding with a look at future directions, the book highlights emerging technologies and trends that will shape the future of AI infrastructure. With a focus on practical implementation and optimization, "Generative AI Infrastructure: Scaling and Performance Optimization" is an indispensable resource for anyone involved in developing and deploying generative AI solutions.

Transform Your Enterprise with Generative AI

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Author :
Publisher : Notion Press
ISBN 13 :
Total Pages : 95 pages
Book Rating : 4.8/5 (941 download)

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Book Synopsis Transform Your Enterprise with Generative AI by : Rajiv Tulsyan

Download or read book Transform Your Enterprise with Generative AI written by Rajiv Tulsyan and published by Notion Press. This book was released on 2024-05-17 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: The comprehensive content of the book, “Transforming Business with Generative AI”, unfolds with an in-depth exploration of Generative AI, establishing its transformative potential in the business landscape. Covering key concepts and historical evolution, the book provides a foundation in machine learning, neural networks, and deep learning, tracing the journey from rule-based systems to the contemporary neural network revolution. It highlights the pivotal role of hardware advancements. The author, Rajiv Tulsyan, then delves into the profound impact of Generative AI on businesses, showcasing its applications in automating tasks, content generation, personalization, data analysis, and creative innovation. Real-world case studies, including Netflix's recommendation system and e-commerce product descriptions, illustrate its practical implications across diverse industries. Each chapter incorporates case studies and real-world examples to reinforce theoretical concepts, making the book accessible to both beginners and professionals. The inclusion of future trends and challenges anticipates the evolving landscape of Generative AI. The book, “Transforming Business with Generative AI”, concludes by emphasizing the importance of addressing ethical concerns and staying informed about emerging trends for businesses seeking to fully leverage Generative AI's potential.

GenAI on AWS

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Author :
Publisher : Wiley
ISBN 13 : 9781394281282
Total Pages : 0 pages
Book Rating : 4.2/5 (812 download)

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Book Synopsis GenAI on AWS by : Asif Abbasi

Download or read book GenAI on AWS written by Asif Abbasi and published by Wiley. This book was released on 2024-11-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: