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Author : Zhihan Lyu
Publisher : Springer Nature
Page : 607 pages
File Size : 49,8 Mb
Release : 2024-06-11
Category : Electronic
ISBN : 9783031462382
Author : Mark Treveil,Nicolas Omont,Clément Stenac,Kenji Lefevre,Du Phan,Joachim Zentici,Adrien Lavoillotte,Makoto Miyazaki,Lynn Heidmann
Publisher : "O'Reilly Media, Inc."
Page : 171 pages
File Size : 49,5 Mb
Release : 2020-11-30
Category : Computers
ISBN : 9781098116422
More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized
Author : Obaid, Ahmed J.,Bhushan, Bharat,S., Muthmainnah,Rajest, S. Suman
Publisher : IGI Global
Page : 505 pages
File Size : 44,6 Mb
Release : 2023-12-21
Category : Computers
ISBN : 9798369305041
The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.
Author : David E. Sweenor,Yves Mulkers
Publisher : TinyTechMedia LLC
Page : 60 pages
File Size : 41,8 Mb
Release : 2024-01-31
Category : Computers
ISBN : 9798989337866
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!™
Author : Divit Gupta,Anushree Srivastava
Publisher : BPB Publications
Page : 418 pages
File Size : 54,7 Mb
Release : 2024-01-06
Category : Computers
ISBN : 9789355516725
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
Author : Anand Vemula
Publisher : Anand Vemula
Page : 67 pages
File Size : 48,9 Mb
Release : 2024-06-11
Category : Computers
ISBN : 8210379456XXX
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.
Author : Anand Vemula
Publisher : Anand Vemula
Page : 72 pages
File Size : 47,5 Mb
Release : 2024-06-11
Category : Computers
ISBN : 8210379456XXX
This comprehensive guide dives into the fascinating world of Artificial Intelligence (AI) and its cutting-edge subfield, Generative AI. Designed for beginners and enthusiasts alike, it equips you with the knowledge and skills to navigate the complexities of machine learning and unlock the power of AI for advanced applications. Building a Strong Foundation The journey begins with mastering the fundamentals. You'll explore the different approaches to AI, delve into the history of this revolutionary field, and gain a solid understanding of various subfields like Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. Delving into Machine Learning Machine learning, the core of AI's learning ability, takes center stage. You'll grasp the difference between supervised and unsupervised learning paradigms, discover popular algorithms like decision trees and neural networks, and learn the importance of data preparation for optimal model performance. Evaluation metrics become your tools to measure how effectively your models are learning. Unveiling the Power of Deep Learning Get ready to explore the intricate world of Deep Learning, a powerful subset of machine learning inspired by the human brain. Demystify neural networks, the building blocks of deep learning, and dive into specialized architectures like Convolutional Neural Networks (CNNs) for image recognition and Recurrent Neural Networks (RNNs) for handling sequential data. Deep learning frameworks become your allies, simplifying the process of building and deploying complex deep learning models. The Art of Machine Creation: Generative AI The book then shifts its focus to the transformative realm of Generative AI. Here, machines not only learn but create entirely new data. Explore different types of generative models, from autoregressive models to variational autoencoders, and witness their applications in text generation, image synthesis, and even music creation. A Deep Dive into Generative Adversarial Networks (GANs) Among generative models, Generative Adversarial Networks (GANs) have captured the imagination of researchers and the public alike. This chapter delves into the intriguing concept of GANs, where a generator model continuously strives to create realistic data while a discriminator model acts as a critic, ensuring the generated data is indistinguishable from real data. You'll explore the training process, the challenges of taming GANs, and best practices for achieving optimal results. Advanced Applications Across Domains The book then showcases the transformative potential of Generative AI across various domains. Witness the power of text generation with RNNs, explore the ethical considerations surrounding deepfakes, and discover how chatbots are revolutionizing communication. In the visual realm, delve into Deep Dream and Neural Style Transfer algorithms, and witness the creation of realistic images and videos with cutting-edge generative models. Mastering AI and Generative AI empowers you to not only understand these revolutionary technologies but also leverage them for advanced applications. As you embark on this journey, be prepared to unlock the boundless potential of machine creation and shape the future of AI.
Author : Anand Vemula
Publisher : Anand Vemula
Page : 41 pages
File Size : 47,8 Mb
Release : 2024-06-11
Category : Computers
ISBN : 8210379456XXX
In the ever-evolving world of Artificial Intelligence (AI), Generative AI stands out for its ability to create entirely new data, from realistic images to compelling music. This book equips you to harness this power, guiding you through the fundamentals and practical applications with LangChain, a user-friendly framework. Part 1 establishes the groundwork. You'll delve into the core concepts of Generative AI, including Deep Learning and Natural Language Processing (NLP). This foundational knowledge empowers you to understand how AI learns from vast datasets and generates novel outputs. Part 2 dives into the specific techniques behind Generative AI. Explore powerful methods like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), grasping how they create realistic data through innovative training processes. You'll also discover the transformative potential of Transformer-based models, particularly adept at handling text-based tasks. LangChain enters the scene in Part 3. This framework simplifies the development and deployment of Generative AI applications. Learn how LangChain streamlines the process, from selecting the appropriate model to integrating it with real-world data sources and managing its outputs. Practical guidance, including code examples and tutorials, empowers you to build your own generative applications with LangChain. Part 4 showcases the exciting possibilities. Witness how LangChain can be applied to Text Generation tasks like creating summaries or crafting engaging creative content. Explore how it facilitates Image Generation, from photorealistic synthesis to image editing and enhancement. Beyond text and images, the book delves into other applications like Music Generation, Code Generation, and even Drug Discovery, highlighting the vast potential of Generative AI. The final part, The Future of Generative AI, emphasizes the critical aspects of responsible development. You'll explore ethical considerations like bias and potential misuse, while also learning about advancements in research and how LangChain can evolve to meet these challenges. By combining foundational knowledge with practical tools and real-world applications, it empowers you to become an active participant in the Generative AI revolution.
Author : Ahmed Jabbar Obaid,Bharat Bhushan,Muthmainnah Muthmainnah,Muthmainnah S. PdI.
Publisher : Unknown
Page : 0 pages
File Size : 40,6 Mb
Release : 2023-12-29
Category : Natural language processing (Computer science)
ISBN : 9798369305027
The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies. Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Models equips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving.
Author : Anand Vemula
Publisher : Anand Vemula
Page : 60 pages
File Size : 49,6 Mb
Release : 2024-06-11
Category : Computers
ISBN : 8210379456XXX
"Building Generative AI Applications with AWS Bedrock" explores the intersection of artificial intelligence and AWS cloud services, guiding readers through the process of creating powerful generative AI applications. From concept to deployment, this book offers a comprehensive roadmap for leveraging AWS Bedrock to build cutting-edge AI systems that can generate creative outputs across various domains. The book begins by introducing the foundational concepts of generative AI, explaining how algorithms learn to generate new content such as images, text, music, and more. Readers are then introduced to AWS Bedrock, a suite of tools and services provided by Amazon Web Services (AWS) specifically designed for building and deploying AI applications at scale. Through practical examples and step-by-step tutorials, readers learn how to harness the capabilities of AWS Bedrock to train and deploy generative AI models effectively. The book covers key topics such as data collection and preprocessing, model training using AWS SageMaker, and deploying models for real-time inference with AWS Lambda and API Gateway. Furthermore, "Building Generative AI Applications with AWS Bedrock" delves into advanced topics such as model optimization, scalability, and security, providing readers with the knowledge and skills needed to build robust and efficient AI systems in the cloud. Throughout the book, best practices and expert tips are shared to help readers avoid common pitfalls and optimize their AI workflows for performance and reliability. Whether you're a data scientist, AI engineer, or cloud developer, this book equips you with the tools and techniques necessary to unlock the full potential of generative AI on the AWS platform. By the end of the book, readers will have a solid understanding of how to design, build, and deploy generative AI applications that push the boundaries of creativity and innovation.
Author : Anand Vemula
Publisher : Anand Vemula
Page : 23 pages
File Size : 44,9 Mb
Release : 2024-06-11
Category : Computers
ISBN : 8210379456XXX
"Generative AI Explained: Your Essential Guide" offers a clear and concise introduction to the world of generative artificial intelligence (AI). Authored by experts in the field, this handbook provides readers with a comprehensive understanding of the principles, applications, and implications of generative AI technology. The book begins by demystifying the concept of generative AI, explaining how it differs from other forms of AI and detailing its underlying mechanisms. Readers are guided through key concepts such as neural networks, machine learning, and deep learning, gaining insights into how these technologies enable machines to generate new content autonomously. From there, the handbook delves into practical applications of generative AI across various industries. Through real-world examples and case studies, readers discover how generative AI is being used to create art, music, literature, and even video games. Additionally, the book explores its applications in fields like healthcare, finance, and marketing, highlighting the transformative impact it is having on society. Furthermore, the handbook addresses important ethical and societal considerations surrounding generative AI. Readers are encouraged to critically examine issues such as bias, privacy, and the implications of AI-generated content on human creativity and employment. Throughout the book, complex technical concepts are explained in a clear and accessible manner, making it suitable for readers with varying levels of technical expertise. Whether you're a student, researcher, developer, or simply curious about the future of AI, "Generative AI Explained" serves as an invaluable resource for understanding the fundamentals of this rapidly evolving field. In summary, "Generative AI Explained: Your Essential Guide" offers a comprehensive yet approachable exploration of generative artificial intelligence, equipping readers with the knowledge and insights needed to navigate the increasingly AI-driven world.
Author : Aarushi Kansal
Publisher : Apress
Page : 0 pages
File Size : 47,7 Mb
Release : 2024-04-16
Category : Computers
ISBN : 9798868802041
Generative AI has gone beyond the responsibility of researchers and data scientists and is being used by production engineers. However, there is a lot of confusion where to get started when building an end-to-end app with generative AI. This book consolidates core models, frameworks, and tools into a single source of knowledge. By providing hands-on examples, the book takes you through the generative AI ecosystem to build applications for production. The book starts with a brief and accessible introduction to transformer models before delving into some of the most popular large language models and diffusions models (image generation). These models are the foundations of both AI and your potential new apps. You will then go through various tools available to work with these models, starting with Langchain, a framework to develop foundational models, which is the next building block you should grasp after understanding generative AI models. The next chapters cover databases, caching, monitoring, etc., which are the topics necessary to build larger-scale applications. Real-world examples using these models and tools are included. By the end of this book, you should be able to build end-to-end apps that are powered by generative AI. You also should be able to apply the tools and techniques taught in this book to your use cases and business. What You Will Learn What is Generative AI? What is ChatGPT and GPT4? What are language models and diffusions models? How do we deploy LangChain and HuggingFace? Who This Book Is For Software engineers with a few years of experience building applications in any language or infrastructure
Author : Anand Vemula
Publisher : Anand Vemula
Page : 33 pages
File Size : 47,8 Mb
Release : 2024-06-11
Category : Computers
ISBN : 8210379456XXX
"Vector Databases for Generative AI Applications" explores the intersection of two cutting-edge fields: vector databases and generative artificial intelligence (AI). The book provides a comprehensive overview of how vector databases, a specialized form of database optimized for vector similarity search, can enhance various generative AI applications. The first part of the book introduces the fundamentals of vector databases, including key concepts such as vector indexing, similarity search algorithms, and performance optimizations. Readers are guided through the architecture and functionality of vector databases, with a focus on how they differ from traditional relational databases and their suitability for handling high-dimensional data. In the second part, the book delves into the application of vector databases in generative AI. It explores how vector databases can be leveraged to store and retrieve large collections of high-dimensional vectors, which are prevalent in generative AI tasks such as natural language processing, computer vision, and recommender systems. Through real-world examples and case studies, the book demonstrates how vector databases can accelerate the training and inference processes of generative AI models by efficiently managing vector representations of data points. Moreover, the book addresses the challenges and considerations involved in integrating vector databases with generative AI frameworks and platforms. It discusses topics such as data preprocessing, indexing strategies, distributed computing, and scalability, providing practical guidance for architects and developers looking to deploy vector databases in their generative AI pipelines. Throughout the book, the authors highlight the synergies between vector databases and generative AI, showcasing how the combination of these technologies can enable breakthroughs in applications such as content generation, personalized recommendations, and data synthesis. By offering both theoretical insights and hands-on implementation techniques, "Vector Databases for Generative AI Applications" serves as a valuable resource for researchers, practitioners, and enthusiasts seeking to harness the power of vector databases to drive innovation in generative AI.
Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 44,7 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data
Author : Anand Vemula
Publisher : Anand Vemula
Page : 42 pages
File Size : 42,6 Mb
Release : 2024-06-11
Category : Computers
ISBN : 8210379456XXX
Mastering Generative AI Software Development equips you to harness the power of generative models, a revolutionary technology capable of creating entirely new and original content. Part 1 establishes a solid foundation. You'll explore the core concepts of generative models, contrasting them with traditional machine learning approaches. We'll delve into the exciting applications of generative AI, from creative content generation like writing and music composition to scientific breakthroughs in drug discovery and material science. The section concludes by discussing both the benefits and challenges associated with this powerful technology. Part 2 guides you through the practical steps of building generative AI systems. We'll tackle data preparation, a crucial stage for ensuring high-quality model training. You'll learn about different data cleaning and augmentation techniques to optimize your data for generative models. Moving on, we'll explore various generative model architectures like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). The section delves into the training process, equipping you with the knowledge to choose appropriate loss functions and optimizers for optimal model performance. We'll also explore techniques for monitoring and debugging the training process to ensure successful model development. Part 3 showcases the vast potential of generative AI software across diverse industries. We'll explore how generative models are revolutionizing creative fields, enabling artists and writers to generate new content and explore innovative avenues. Beyond the realm of creativity, we'll delve into the transformative role of generative AI in scientific research, accelerating drug discovery and material design processes. The section concludes by exploring additional applications like data augmentation and natural language processing tasks such as machine translation and chatbot development. Part 4 paves the way for the future. We'll discuss the ethical considerations surrounding generative AI development, particularly the potential for bias and the misuse of realistic content generation. The section concludes by exploring cutting-edge advancements like explainable generative models and the ever-expanding real-world applications of this technology. By the end of this comprehensive guide, you'll possess a thorough understanding of generative AI software development, empowering you to participate in shaping the future of this rapidly evolving field.