Generative Ai Application Integration Patterns

Download Generative Ai Application Integration Patterns full books in PDF, epub, and Kindle. Read online Generative Ai Application Integration Patterns ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Generative AI Application Integration Patterns

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

DOWNLOAD NOW!

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

Enterprise GENERATIVE AI Well-Architected Framework & Patterns

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

DOWNLOAD NOW!

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.

Architectural Patterns and Techniques for Developing IoT Solutions

Author : Jasbir Singh Dhaliwal
Publisher : Packt Publishing Ltd
ISBN 13 : 1803247630
Total Pages : 304 pages
Book Rating : 4.8/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Architectural Patterns and Techniques for Developing IoT Solutions by : Jasbir Singh Dhaliwal

Download or read book Architectural Patterns and Techniques for Developing IoT Solutions written by Jasbir Singh Dhaliwal and published by Packt Publishing Ltd. This book was released on 2023-09-28 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply modern architectural patterns and techniques to achieve scalable, resilient, and secure intelligent IoT solutions built for manufacturing, consumer, agriculture, smart cities, and other domains Key Features Get empowered to quickly develop IoT solutions using listed patterns and related guidance Learn the applications of IoT architectural patterns in various domains through real-world case studies Explore sensor and actuator selection, analytics, security, and emerging tools for architecting IoT systems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs the Internet of Things (IoT) expands and moves to new domains, architectural patterns need to enable faster digital transformation and more uniform development. Through numerous use cases and examples, this book helps you conceptualize and implement IoT architectural patterns and use them in diverse contexts in real-world scenarios. The book begins by introducing you to a variety of IoT architectural patterns and then helps you understand how they are used in domains such as retail, smart manufacturing, consumer, smart cities, and smart agriculture. You’ll also find out how cross-cutting concerns such as security require special considerations in the IoT context. As you advance, you’ll discover all the nuances that are inherent in each layer of IoT reference architecture, including considerations related to analytics for edge/constrained devices, data visualizations, and so on. In the concluding chapters, you’ll explore emerging technologies such as blockchain, 3D printing, 5G, generative AI, quantum computing, and large language models (LLMs) that enhance IoT capabilities to realize broader applications. By the end of this book, you’ll have learned to architect scalable, secure, and unique IoT solutions in any domain using the power of IoT architectural patterns, and you will be able to avoid the pitfalls that typically derail IoT projects.What you will learn Get to grips with the essentials of different architectural patterns and anti-patterns Discover the underlying commonalities in diverse IoT applications Combine patterns from physical and virtual realms to develop innovative applications Choose the right set of sensors and actuators for your solution Explore analytics-related tools and techniques such as TinyML and sensor fusion Overcome the challenges faced in securing IoT systems Leverage use cases based on edge computing and emerging technologies such as 3D printing, 5G, generative AI, and LLMs Who this book is forThis book is for IoT systems and solutions architects as well as other IoT practitioners, such as developers and both technical program and pre-sales managers who are interested in understanding how various IoT architectural patterns and techniques can be applied to developing unique and diverse IoT solutions. Prior knowledge of IoT fundamental concepts and its application areas is helpful but not mandatory.

Enterprise Integration Patterns

Author : Gregor Hohpe
Publisher : Addison-Wesley
ISBN 13 : 0133065103
Total Pages : 741 pages
Book Rating : 4.1/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Enterprise Integration Patterns by : Gregor Hohpe

Download or read book Enterprise Integration Patterns written by Gregor Hohpe and published by Addison-Wesley. This book was released on 2012-03-09 with total page 741 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enterprise Integration Patterns provides an invaluable catalog of sixty-five patterns, with real-world solutions that demonstrate the formidable of messaging and help you to design effective messaging solutions for your enterprise. The authors also include examples covering a variety of different integration technologies, such as JMS, MSMQ, TIBCO ActiveEnterprise, Microsoft BizTalk, SOAP, and XSL. A case study describing a bond trading system illustrates the patterns in practice, and the book offers a look at emerging standards, as well as insights into what the future of enterprise integration might hold. This book provides a consistent vocabulary and visual notation framework to describe large-scale integration solutions across many technologies. It also explores in detail the advantages and limitations of asynchronous messaging architectures. The authors present practical advice on designing code that connects an application to a messaging system, and provide extensive information to help you determine when to send a message, how to route it to the proper destination, and how to monitor the health of a messaging system. If you want to know how to manage, monitor, and maintain a messaging system once it is in use, get this book.

Generative AI with Amazon Bedrock

Author : Shikhar Kwatra
Publisher : Packt Publishing Ltd
ISBN 13 : 1804618586
Total Pages : 384 pages
Book Rating : 4.8/5 (46 download)

DOWNLOAD NOW!

Book Synopsis Generative AI with Amazon Bedrock by : Shikhar Kwatra

Download or read book Generative AI with Amazon Bedrock written by Shikhar Kwatra and published by Packt Publishing Ltd. This book was released on 2024-07-31 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Become proficient in Amazon Bedrock by taking a hands-on approach to building and scaling generative AI solutions that are robust, secure, and compliant with ethical standards Key Features Learn the foundations of Amazon Bedrock from experienced AWS Machine Learning Specialist Architects Master the core techniques to develop and deploy several AI applications at scale Go beyond writing good prompting techniques and secure scalable frameworks by using advanced tips and tricks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe concept of generative artificial intelligence has garnered widespread interest, with industries looking to leverage it to innovate and solve business problems. Amazon Bedrock, along with LangChain, simplifies the building and scaling of generative AI applications without needing to manage the infrastructure. Generative AI with Amazon Bedrock takes a practical approach to enabling you to accelerate the development and integration of several generative AI use cases in a seamless manner. You’ll explore techniques such as prompt engineering, retrieval augmentation, fine-tuning generative models, and orchestrating tasks using agents. The chapters take you through real-world scenarios and use cases such as text generation and summarization, image and code generation, and the creation of virtual assistants. The latter part of the book shows you how to effectively monitor and ensure security and privacy in Amazon Bedrock. By the end of this book, you’ll have gained a solid understanding of building and scaling generative AI apps using Amazon Bedrock, along with various architecture patterns and security best practices that will help you solve business problems and drive innovation in your organization.What you will learn Explore the generative AI landscape and foundation models in Amazon Bedrock Fine-tune generative models to improve their performance Explore several architecture patterns for different business use cases Gain insights into ethical AI practices, model governance, and risk mitigation strategies Enhance your skills in employing agents to develop intelligence and orchestrate tasks Monitor and understand metrics and Amazon Bedrock model response Explore various industrial use cases and architectures to solve real-world business problems using RAG Stay on top of architectural best practices and industry standards Who this book is for This book is for generalist application engineers, solution engineers and architects, technical managers, ML advocates, data engineers, and data scientists looking to either innovate within their organization or solve business use cases using generative AI. A basic understanding of AWS APIs and core AWS services for machine learning is expected.

Generative AI for Effective Software Development

Author : Anh Nguyen-Duc
Publisher : Springer Nature
ISBN 13 : 3031556429
Total Pages : 346 pages
Book Rating : 4.0/5 (315 download)

DOWNLOAD NOW!

Book Synopsis Generative AI for Effective Software Development by : Anh Nguyen-Duc

Download or read book Generative AI for Effective Software Development written by Anh Nguyen-Duc and published by Springer Nature. This book was released on with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Generative AI in Action

Author : Amit Bahree
Publisher : Manning
ISBN 13 : 9781633436947
Total Pages : 0 pages
Book Rating : 4.4/5 (369 download)

DOWNLOAD NOW!

Book Synopsis Generative AI in Action by : Amit Bahree

Download or read book Generative AI in Action written by Amit Bahree and published by Manning. This book was released on 2024-10-29 with total page 0 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 has created new opportunities for organizations of all sizes. You can easily use tools like ChatGPT, Bard, and Stable Diffusion to generate text and images for product catalogs, marketing campaigns, technical reporting, and other common tasks. Coding assistants like Copilot are accelerating productivity in software teams. In this insightful book, 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 stays away from hype and speculation, delivering experience-based advice on how to incorporate AI into your products and processes. You’ll appreciate the relevant use cases that show you how to get started right away, 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 book Generative AI in Action shows you exactly how to add generative AI tools for text, images, code, and more into your organization’s strategies and projects. The book begins with the fundamentals of generative AI models and architectures, and introduces practical use-cases to create efficient processes for marketing, software development, business report generation, and other practical tasks. You’ll quickly master best practices for prompt engineering, model fine tuning and evaluation, and explore the emerging architecture patterns that support generative AI in your enterprise workflow. Along the way, you’ll learn important facts about AI safety and ethics, and look ahead to new trends such as explainable AI, transfer learning, and reinforcement learning. With a frank discussion of risks like hallucinations and jailbreaks, Generative AI in Action gives you the insight you need to incorporate these powerful technologies with confidence. About the reader For enterprise architects and senior developers interested in upgrading their architectures with generative AI. About the author Amit Bahree is a Principal Group TPM at Microsoft, where he is part of the engineering team building the next generation of AI products and services for millions of customers using the Azure AI platform. He is also responsible for custom engineering across the platform with key customers, solving complex enterprise scenarios using all forms of AI, including generative AI.

Human Factors, Business Management and Society

Author : Vesa Salminen
Publisher : AHFE Conference
ISBN 13 : 1964867118
Total Pages : 356 pages
Book Rating : 4.9/5 (648 download)

DOWNLOAD NOW!

Book Synopsis Human Factors, Business Management and Society by : Vesa Salminen

Download or read book Human Factors, Business Management and Society written by Vesa Salminen and published by AHFE Conference. This book was released on 2024-07-24 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 15th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conferences, Nice, France, 24-27 July 2024.

Building AI Applications with Microsoft Semantic Kernel

Author : Lucas A. Meyer
Publisher : Packt Publishing Ltd
ISBN 13 : 1835469590
Total Pages : 252 pages
Book Rating : 4.8/5 (354 download)

DOWNLOAD NOW!

Book Synopsis Building AI Applications with Microsoft Semantic Kernel by : Lucas A. Meyer

Download or read book Building AI Applications with Microsoft Semantic Kernel written by Lucas A. Meyer and published by Packt Publishing Ltd. This book was released on 2024-06-21 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the power of GenAI by effortlessly linking your C# and Python apps with cutting-edge models, orchestrating diverse AI services with finesse, and crafting bespoke applications through immersive, real-world examples Key Features Link your C# and Python applications with the latest AI models from OpenAI Combine and orchestrate different AI services such as text and image generators Create your own AI apps with real-world use case examples that show you how to use basic generative AI, create images, process documents, use a vector database Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the fast-paced world of AI, developers are constantly seeking efficient ways to integrate AI capabilities into their apps. Microsoft Semantic Kernel simplifies this process by using the GenAI features from Microsoft and OpenAI. Written by Lucas A. Meyer, a Principal Research Scientist in Microsoft’s AI for Good Lab, this book helps you get hands on with Semantic Kernel. It begins by introducing you to different generative AI services such as GPT-3.5 and GPT-4, demonstrating their integration with Semantic Kernel. You’ll then learn to craft prompt templates for reuse across various AI services and variables. Next, you’ll learn how to add functionality to Semantic Kernel by creating your own plugins. The second part of the book shows you how to combine multiple plugins to execute complex actions, and how to let Semantic Kernel use its own AI to solve complex problems by calling plugins, including the ones made by you. The book concludes by teaching you how to use vector databases to expand the memory of your AI services and how to help AI remember the context of earlier requests. You’ll also be guided through several real-world examples of applications, such as RAG and custom GPT agents. By the end of this book, you'll have gained the knowledge you need to start using Semantic Kernel to add AI capabilities to your applications.What you will learn Write reusable AI prompts and connect to different AI providers Create new plugins that extend the capabilities of AI services Understand how to combine multiple plugins to execute complex actions Orchestrate multiple AI services to accomplish a task Leverage the powerful planner to automatically create appropriate AI calls Use vector databases as additional memory for your AI tasks Deploy your application to ChatGPT, making it available to hundreds of millions of users Who this book is for This book is for beginner-level to experienced .NET or Python software developers who want to quickly incorporate the latest AI technologies into their applications, without having to learn the details of every new AI service. Product managers with some development experience will find this book helpful while creating proof-of-concept applications. This book requires working knowledge of programming basics.

Generative AI for Enterprises

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

DOWNLOAD NOW!

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

AI Healthcare Applications and Security, Ethical, and Legal Considerations

Author : Singla, Babita
Publisher : IGI Global
ISBN 13 :
Total Pages : 351 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis AI Healthcare Applications and Security, Ethical, and Legal Considerations by : Singla, Babita

Download or read book AI Healthcare Applications and Security, Ethical, and Legal Considerations written by Singla, Babita and published by IGI Global. This book was released on 2024-08-05 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) technology has led to the creation of many opportunities in the field of healthcare. Like other industries, stakeholders in the healthcare sector stand to benefit tremendously from its adoption. The multifaceted benefits associated with AI are something that makes the adoption of technology constructive for the sector. That said, it is equally important to take care of the ethical, security, and safety challenges related to AI applications. AI Healthcare Applications and Security, Ethical, and Legal Considerations discusses in detail the various facets of AI integration in the healthcare sector. This book offers comprehensive information on how to integrate AI into the healthcare sector safely and ethically. Covering topics such as cybersecurity, machine learning models, and public policy, this book is an excellent resource for healthcare professionals and administrators, researchers, ethicists, legal scholars, healthcare policy makers and regulators, medical informatics and IT professionals, educators, bioethics professionals, academicians, and more.

The Pioneering Applications of Generative AI

Author : Kumar, Raghvendra
Publisher : IGI Global
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis The Pioneering Applications of Generative AI by : Kumar, Raghvendra

Download or read book The Pioneering Applications of Generative AI written by Kumar, Raghvendra and published by IGI Global. This book was released on 2024-07-17 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrating generative artificial intelligence (AI) into art, design, and media presents a double-edged sword. While it offers unprecedented creative possibilities, it raises ethical concerns, challenges traditional workflows, and requires careful regulation. As AI becomes more prevalent in these fields, there is a pressing need for a comprehensive resource that explores the technology's potential and navigates the complex landscape of its implications. The Pioneering Applications of Generative AI is a pioneering book that addresses these challenges head-on. It provides a deep dive into the evolution, ethical considerations, core technologies, and creative applications of generative AI, offering readers a thorough understanding of this transformative technology. Researchers, academicians, scientists, and research scholars will find this book invaluable in navigating the complexities of generative AI in art, design, and media. With its focus on ethical and responsible AI and discussions on regulatory frameworks, the book equips readers with the knowledge and tools needed to harness the full potential of generative AI while ensuring its responsible and ethical use.

Generative AI in Practice: A Comprehensive Guide to Techniques and Applications

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 67 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Generative AI in Practice: A Comprehensive Guide to Techniques and Applications by : Anand Vemula

Download or read book Generative AI in Practice: A Comprehensive Guide to Techniques and Applications written by Anand Vemula and published by Anand Vemula. This book was released on with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive guide dives deep into the world of Generative AI, a revolutionary field where AI creates entirely new things. Go beyond traditional AI methods and discover how Generative AI can revolutionize industries, empower creativity, and shape the future. Here's what you'll find inside: Breakthrough Techniques: Explore prominent methods like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) in a clear and engaging way. Real-World Applications: Witness the transformative impact of Generative AI across various sectors, from accelerating drug discovery in healthcare to automating code generation in software development. The Power of Creation: Discover how Generative AI can fuel creativity in design, content creation, and education, offering inspiration and boosting efficiency. Generative AI in Practice equips you with the knowledge to harness this groundbreaking technology: Essential Tools and Platforms: Learn about popular generative AI tools and platforms readily available for you to explore and experiment with. Seamless Integration: Discover strategies to integrate Generative AI seamlessly into your existing workflows, maximizing its impact. The Ethical Landscape: Address crucial considerations surrounding data bias, fairness, and the responsible development of Generative AI. This book empowers you to: Understand the core concepts of Generative AI and its potential to create entirely new data formats. Implement generative techniques to automate tasks, enhance creative processes, and solve problems in your field. Become a responsible user of Generative AI, fostering innovation while considering ethical implications. Generative AI in Practice is your one-stop guide to understanding, implementing, and harnessing the power of Generative AI, whether you're a business leader, a creative professional, a developer, or simply curious about the future of technology.

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)

DOWNLOAD NOW!

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

Generative AI for Transformational Management

Author : Gomathi Sankar, Jeganathan
Publisher : IGI Global
ISBN 13 :
Total Pages : 418 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Generative AI for Transformational Management by : Gomathi Sankar, Jeganathan

Download or read book Generative AI for Transformational Management written by Gomathi Sankar, Jeganathan and published by IGI Global. This book was released on 2024-08-27 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: The business world today is changing at a breakneck pace. Traditional management practices need help keeping up with the uncertainties and complexities of the digital age. Leaders face a lot of pressure to innovate, adapt, and drive transformative change within their organizations. However, they need more than just conventional wisdom to navigate this terrain. A deep understanding of emerging technologies like artificial intelligence (AI) and their practical applications in management is essential. Generative AI for Transformational Management offers a compelling solution to these challenges. This book provides a roadmap for leveraging AI to drive organizational transformation by exploring the intersection of generative AI and visionary leadership. By examining real-world case studies and practical applications, readers can learn how AI can be integrated into leadership practices to promote innovation and proactive decision-making and effectively navigate the complexities of the digital age.

Serverless Development on AWS

Author : Sheen Brisals
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 109814189X
Total Pages : 527 pages
Book Rating : 4.0/5 (981 download)

DOWNLOAD NOW!

Book Synopsis Serverless Development on AWS by : Sheen Brisals

Download or read book Serverless Development on AWS written by Sheen Brisals and published by "O'Reilly Media, Inc.". This book was released on 2024-01-23 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: The adoption of serverless is on the rise, but until now, little guidance has been available for development teams that want to apply this technology on AWS. This definitive guide is packed with architectural, security, and data best practices and patterns for architects and engineers who want to build reliable enterprise-scale serverless solutions. Sheen Brisals, an AWS Serverless Hero, and Luke Hedger, an AWS Community Builder, outline the serverless adoption requirements for an enterprise, examine the development tools your team needs, and explain in depth the nuances of testing event-driven and distributed serverless services. You'll gain practical guidance for keeping up with change and learn how to build serverless solutions with sustainability in mind. Examine the serverless technology ecosystem and AWS services needed to develop serverless applications Learn the approach and preparation required for a successful serverless adoption in an enterprise Learn serverless architectures and implementation patterns Design, develop, and test distributed serverless microservices on AWS cloud Apply security best practices while building serverless solutions Identify and adapt the implementation patterns for your particular use case Incorporate the necessary measures for observable serverless applications Implement sustainable serverless applications in the cloud

Integrating Generative AI in Education to Achieve Sustainable Development Goals

Author : Doshi, Ruchi
Publisher : IGI Global
ISBN 13 :
Total Pages : 563 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Integrating Generative AI in Education to Achieve Sustainable Development Goals by : Doshi, Ruchi

Download or read book Integrating Generative AI in Education to Achieve Sustainable Development Goals written by Doshi, Ruchi and published by IGI Global. This book was released on 2024-06-03 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new challenge has become present in the field of generative artificial intelligence (AI). The fundamental nature of education, a vital element for advancing the United Nations' Sustainable Development Goals (SDGs), now grapples with the transformative impact of AI technologies. As we stand at this intersection of progress and pedagogy, critical questions surface about the future roles of educators and the integrity of assessment processes. AIs rapid progression prompts an exploration of the competencies our education systems must cultivate in a world where human and machine intelligence are becoming increasingly interconnected. Against this backdrop of transformative uncertainty, Integrating Generative AI in Education to Achieve Sustainable Development Goals addresses profound challenges and offers promising solutions at the crossroads of AI and education. This book assembles distinguished academics, researchers, and practitioners, forming a collective voice on the intersection of Generative AI and education. The three-part structure dissects the technical aspects of AI-powered innovations in educational design, explores multidisciplinary applications enhancing educational content, and highlights AI-driven solutions to address equality and inclusion concerns within educational systems. The book also underscores the importance of ethical considerations of generative AI to ensure a future where technology serves the broader goals of sustainability and equitable education.