Introduction To Generative Ai

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Artificial Intelligence with Python

Author : Prateek Joshi
Publisher : Packt Publishing Ltd
ISBN 13 : 1786469677
Total Pages : 437 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Artificial Intelligence with Python by : Prateek Joshi

Download or read book Artificial Intelligence with Python written by Prateek Joshi and published by Packt Publishing Ltd. This book was released on 2017-01-27 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

Introduction to Generative AI

Author : Numa Dhamani
Publisher : Simon and Schuster
ISBN 13 : 1633437191
Total Pages : 334 pages
Book Rating : 4.6/5 (334 download)

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Book Synopsis Introduction to Generative AI by : Numa Dhamani

Download or read book Introduction to Generative AI written by Numa Dhamani and published by Simon and Schuster. This book was released on 2024-02-27 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative AI tools like ChatGPT are amazing—but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you’ll learn: How large language models (LLMs) work How to integrate generative AI into your personal and professional workflows Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where AI is going Anyone who uses ChatGPT for even a few minutes can tell that it’s truly different from other chatbots or question-and-answer tools. Introduction to Generative AI guides you from that first eye-opening interaction to how these powerful tools can transform your personal and professional life. In it, you’ll get no-nonsense guidance on generative AI fundamentals to help you understand what these models are (and aren’t) capable of, and how you can use them to your greatest advantage. Foreword by Sahar Massachi. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Generative AI tools like ChatGPT, Bing, and Bard have permanently transformed the way we work, learn, and communicate. This delightful book shows you exactly how Generative AI works in plain, jargon-free English, along with the insights you’ll need to use it safely and effectively. About the book Introduction to Generative AI guides you through benefits, risks, and limitations of Generative AI technology. You’ll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law. Along the way, you’ll practice strategies for getting accurate responses and even understand how to handle misuse and security threats. What's inside How large language models work Integrate Generative AI into your daily work Balance innovation and responsibility About the reader For anyone interested in Generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models. The technical editor on this book was Maris Sekar. Table of Contents 1 Large language models: The power of AI Evolution of natural language processing 2 Training large language models 3 Data privacy and safety with LLMs 4 The evolution of created content 5 Misuse and adversarial attacks 6 Accelerating productivity: Machine-augmented work 7 Making social connections with chatbots 8 What’s next for AI and LLMs 9 Broadening the horizon: Exploratory topics in AI

Generative Deep Learning

Author : David Foster
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492041890
Total Pages : 360 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Generative Deep Learning by : David Foster

Download or read book Generative Deep Learning written by David Foster and published by "O'Reilly Media, Inc.". This book was released on 2019-06-28 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Applications of Generative AI

Author : Zhihan Lyu
Publisher : Springer Nature
ISBN 13 : 3031462386
Total Pages : 607 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Applications of Generative AI by : Zhihan Lyu

Download or read book Applications of Generative AI written by Zhihan Lyu and published by Springer Nature. This book was released on with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning for Coders with fastai and PyTorch

Author : Jeremy Howard
Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Introduction to Artificial Intelligence and Generative AI for Novice

Author : Adam Neural
Publisher : Adam Neural
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.2/5 (232 download)

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Book Synopsis Introduction to Artificial Intelligence and Generative AI for Novice by : Adam Neural

Download or read book Introduction to Artificial Intelligence and Generative AI for Novice written by Adam Neural and published by Adam Neural. This book was released on 2023-07-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is currently one of the most talked-about and significant modern technologies. It is being utilized more frequently across a wide range of businesses to enhance workflows, offer individualized experiences, and even assist in resolving difficult societal problems. Although AI is becoming more commonplace, many people are still confused about what it is and how it functions. "This book" is useful in this situation. This manual aims to give a thorough yet understandable introduction to AI. It discusses the development of AI, its various subfields, and its applications in sectors like healthcare, finance, and retail. It also covers the ethical and societal ramifications of AI, such as issues with bias, privacy, and the effect on employment. The approachability of "This book" is one of its main advantages. The manual's straightforward, concise writing makes it simple for readers to comprehend the ideas without becoming lost in technical jargon. In order to assist readers, apply what they have learned to their own commercial or personal initiatives, it contains real-world examples and useful exercises. "This book" is the ideal tool for learning more about AI, whether you are a business owner trying to integrate AI into your operations or are just curious about the subject. By the book's conclusion, readers will be well-versed in the foundations of AI and able to use this technology to accomplish their objectives. It is more crucial than ever to acquire a fundamental understanding of this potent technology in a world where AI is progressively influencing how we conduct our daily lives. With "This book," readers will be well-prepared to traverse the complicated world of artificial intelligence and use it to streamline their lives and accomplish their goals. So, let's get started and together explore the transformational possibilities of AI. Purpose of The Book and Targeted Audience The book "Introduction to Artificial Intelligence and Generative Ai For Novice aims to give readers an accessible and digestible introduction to the principles of AI. The book tries to demystify the often scary and overwhelming realm of AI and aid readers in developing a deeper grasp of this quickly developing technology. The manual is broken up into a number of sections, each of which deals with a different area of AI. It begins with a summary of AI history, including its inception and significant advancements that have influenced the field. After that, it explores the numerous varieties of AI, including supervised learning, unsupervised learning, and reinforcement learning, and offers instances of their practical applications in different fields. The approachability of "This book" is one of its advantages. Without becoming mired in technical jargon, the book's readers may easily understand the topics because of its simple, succinct writing. The manual provides useful activities that let readers put what they've learned into practice and get first-hand AI experience. A brief overview of AI and its potential impact on Society Making intelligent computers that are capable of performing activities that traditionally require human intelligence, such as speech recognition, decision-making, and problem-solving, is the focus of artificial intelligence (AI), a fast-developing branch of computer science. Although artificial intelligence has been around for some time, current developments in machine learning, deep learning, and natural language processing have significantly advanced the creation of AI systems

Introduction to Artificial Intelligence

Author : Wolfgang Ertel
Publisher : Springer
ISBN 13 : 3319584871
Total Pages : 356 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Introduction to Artificial Intelligence by : Wolfgang Ertel

Download or read book Introduction to Artificial Intelligence written by Wolfgang Ertel and published by Springer. This book was released on 2018-01-18 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning. Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW); discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW); includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW). Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.

Introduction to Artificial Intelligence and Generative AI for Novice

Author : Adam Neural
Publisher :
ISBN 13 : 9781312406124
Total Pages : 0 pages
Book Rating : 4.4/5 (61 download)

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Book Synopsis Introduction to Artificial Intelligence and Generative AI for Novice by : Adam Neural

Download or read book Introduction to Artificial Intelligence and Generative AI for Novice written by Adam Neural and published by . This book was released on 2023-06-24 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is currently one of the most talked-about and significant modern technologies. It is being utilized more frequently across a wide range of businesses to enhance workflows, offers individualized experiences, and even assist in resolving difficult societal problems. Although AI is becoming more commonplace, many people are still confused about what it is and how it functions. "This book" is useful in this situation. This manual aims to give a thorough yet understandable introduction to AI. It discusses the development of AI, its various subfields, and its applications in sectors like healthcare, finance, and retail. It also covers the ethical and societal ramifications of AI, such as issues with bias, privacy, and the effect on employment. The approachability of "This book" is one of its main advantages. The manual's straightforward, concise writing makes it simple for readers to comprehend the ideas without becoming lost in technical jargon. In order to assist readers, apply what they have learned to their own commercial or personal initiatives, it contains real-world examples and useful exercises. "This book" is the ideal tool for learning more about AI, whether you are a business owner trying to integrate AI into your operations or are just curious about the subject. By the book's conclusion, readers will be well-versed in the foundations of AI and able to use this technology to accomplish their objectives. It is more crucial than ever to acquire a fundamental understanding of this potent technology in a world where AI is progressively influencing how we conduct our daily lives. With "This book," readers will be well-prepared to traverse the complicated world of artificial intelligence and use it to streamline their lives and accomplish their goals. So, let's get started and together explore the transformational possibilities of AI. Purpose of The Book and Targeted Audience The book "Introduction to Artificial Intelligence and Generative Ai For Novice aims to give readers an accessible and digestible introduction to the principles of AI. The book tries to demystify the often scary and overwhelming realm of AI and aid readers in developing a deeper grasp of this quickly developing technology.

Introducing MLOps

Author : Mark Treveil
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098116429
Total Pages : 171 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Introducing MLOps by : Mark Treveil

Download or read book Introducing MLOps written by Mark Treveil and published by "O'Reilly Media, Inc.". This book was released on 2020-11-30 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Generative AI with Python and TensorFlow 2

Author : Joseph Babcock
Publisher : Packt Publishing Ltd
ISBN 13 : 1800208502
Total Pages : 489 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Generative AI with Python and TensorFlow 2 by : Joseph Babcock

Download or read book Generative AI with Python and TensorFlow 2 written by Joseph Babcock and published by Packt Publishing Ltd. This book was released on 2021-04-30 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fun and exciting projects to learn what artificial minds can create Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook Description Machines are excelling at creative human skills such as painting, writing, and composing music. Could you be more creative than generative AI? In this book, you’ll explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs. You’ll learn how to implement models yourself in TensorFlow and get to grips with the latest research on deep neural networks. There’s been an explosion in potential use cases for generative models. You’ll look at Open AI’s news generator, deepfakes, and training deep learning agents to navigate a simulated environment. Recreate the code that’s under the hood and uncover surprising links between text, image, and music generation. What you will learnExport the code from GitHub into Google Colab to see how everything works for yourselfCompose music using LSTM models, simple GANs, and MuseGANCreate deepfakes using facial landmarks, autoencoders, and pix2pix GANLearn how attention and transformers have changed NLPBuild several text generation pipelines based on LSTMs, BERT, and GPT-2Implement paired and unpaired style transfer with networks like StyleGANDiscover emerging applications of generative AI like folding proteins and creating videos from imagesWho this book is for This is a book for Python programmers who are keen to create and have some fun using generative models. To make the most out of this book, you should have a basic familiarity with math and statistics for machine learning.

100 BEST GENERATIVE AI TOOLS

Author : Prabhu TL
Publisher : NestFame Creations Pvt Ltd.
ISBN 13 :
Total Pages : 224 pages
Book Rating : 4./5 ( download)

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Book Synopsis 100 BEST GENERATIVE AI TOOLS by : Prabhu TL

Download or read book 100 BEST GENERATIVE AI TOOLS written by Prabhu TL and published by NestFame Creations Pvt Ltd.. This book was released on with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of groundbreaking technological advancements, the book "100 Best Generative AI Tools" is your passport to an exhilarating expedition through the realms of creativity, imagination, and innovation. This captivating guide unveils a curated selection of the most remarkable and transformative generative AI tools that are reshaping the landscape of human ingenuity across a multitude of industries. Unlocking the Power of Generative AI: Imagine a world where machines possess the remarkable ability to generate art, music, literature, and even entire virtual realities. In "100 Best Generative AI Tools," you'll venture into this awe-inspiring realm, where algorithms fuse with creativity to produce captivating and unprecedented results. Whether you're an artist, a musician, a writer, or an innovator, this book empowers you to harness the potential of generative AI to amplify your creative endeavors. A Treasury of Creative Possibilities: This book serves as a treasure trove of innovative generative AI tools, meticulously curated to offer a diverse and comprehensive range of applications. From producing mesmerizing visual masterpieces to composing evocative musical compositions, and from crafting compelling narratives to designing immersive virtual landscapes—each tool is a gateway to limitless creative possibilities. Behind the Algorithmic Curtain: Delve deeper into the intricate workings of these generative AI tools as you unravel the science behind the algorithms. "100 Best Generative AI Tools" deciphers complex concepts into accessible insights, making it a captivating read for both enthusiasts and those new to the field. Explore how neural networks, deep learning, and cutting-edge technology collaborate harmoniously to produce works of art that rival human creativity. Crossing Boundaries and Industries: The impact of generative AI knows no bounds, transcending industries and reshaping the way we perceive creativity. Whether you're a fashion designer pushing the boundaries of design, a game developer crafting immersive digital experiences, or a scientist generating data-driven insights, the tools showcased in this book will spark your imagination and transform your approach to innovation. Empowering Creative Minds: "100 Best Generative AI Tools" goes beyond mere description; it provides you with the tools and knowledge to unleash your creative potential. Whether you're a curious novice or an experienced artist, this book equips you with the resources to embark on a journey of experimentation, discovery, and artistic evolution. Shape the Future of Creativity: As you delve into the pages of "100 Best Generative AI Tools," you become part of a transformative movement that is redefining the boundaries of human creativity. With these tools at your fingertips, you have the power to amplify your artistic voice, challenge traditional norms, and craft a future where the fusion of AI and imagination knows no limits. Join the Creative Revolution: Are you ready to join the ranks of visionaries who are seamlessly blending art, technology, and innovation? "100 Best Generative AI Tools" is your guide to embracing the future, where the canvas of creativity knows no boundaries and the brush strokes of imagination are powered by algorithms. Step into a world where your creative potential knows no limits, and let the journey of innovation begin.

Generative AI with Microsoft Azure – Practical Handbook

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

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

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

Modern Generative AI with ChatGPT and OpenAI Models

Author : Valentina Alto
Publisher : Packt Publishing Ltd
ISBN 13 : 1805122835
Total Pages : 286 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis Modern Generative AI with ChatGPT and OpenAI Models by : Valentina Alto

Download or read book Modern Generative AI with ChatGPT and OpenAI Models written by Valentina Alto and published by Packt Publishing Ltd. This book was released on 2023-05-26 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI Purchase of the print or Kindle book includes a free PDF eBook Key Features Explore the theory behind generative AI models and the road to GPT3 and GPT4 Become familiar with ChatGPT's applications to boost everyday productivity Learn to embed OpenAI models into applications using lightweight frameworks like LangChain Book Description Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data. Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster. You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications. By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects. What you will learn Understand generative AI concepts from basic to intermediate level Focus on the GPT architecture for generative AI models Maximize ChatGPT's value with an effective prompt design Explore applications and use cases of ChatGPT Use OpenAI models and features via API calls Build and deploy generative AI systems with Python Leverage Azure infrastructure for enterprise-level use cases Ensure responsible AI and ethics in generative AI systems Who this book is for This book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models. A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.

Generative AI for Cloud Solutions

Author : Paul Singh
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.

Learn Python Generative AI

Author : Zonunfeli Ralte
Publisher : BPB Publications
ISBN 13 : 9355518978
Total Pages : 421 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Learn Python Generative AI by : Zonunfeli Ralte

Download or read book Learn Python Generative AI written by Zonunfeli Ralte and published by BPB Publications. This book was released on 2024-02-01 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to unleash the power of AI creativity KEY FEATURES ● Understand the core concepts related to generative AI. ● Different types of generative models and their applications. ● Learn how to design generative AI neural networks using Python and TensorFlow. DESCRIPTION This book researches the intricate world of generative Artificial Intelligence, offering readers an extensive understanding of various components and applications in this field. The book begins with an in-depth analysis of generative models, providing a solid foundation and exploring their combination nuances. It then focuses on enhancing TransVAE, a variational autoencoder, and introduces the Swin Transformer in generative AI. The inclusion of cutting edge applications like building an image search using Pinecone and a vector database further enriches its content. The narrative shifts to practical applications, showcasing GenAI's impact in healthcare, retail, and finance, with real-world examples and innovative solutions. In the healthcare sector, it emphasizes AI's transformative role in diagnostics and patient care. In retail and finance, it illustrates how AI revolutionizes customer engagement and decision making. The book concludes by synthesizing key learnings, offering insights into the future of generative AI, and making it a comprehensive guide for diverse industries. Readers will find themselves equipped with a profound understanding of generative AI, its current applications, and its boundless potential for future innovations. WHAT YOU WILL LEARN ● Acquire practical skills in designing and implementing various generative AI models. ● Gain expertise in vector databases and image embeddings, crucial for image search and data retrieval. ● Navigate challenges in healthcare, retail, and finance using sector specific insights. ● Generate images and text with VAEs, GANs, LLMs, and vector databases. ● Focus on both traditional and cutting edge techniques in generative AI. WHO THIS BOOK IS FOR This book is for current and aspiring emerging AI deep learning professionals, architects, students, and anyone who is starting and learning a rewarding career in generative AI. TABLE OF CONTENTS 1. Introducing Generative AI 2. Designing Generative Adversarial Networks 3. Training and Developing Generative Adversarial Networks 4. Architecting Auto Encoder for Generative AI 5. Building and Training Generative Autoencoders 6. Designing Generative Variation Auto Encoder 7. Building Variational Autoencoders for Generative AI 8. Fundamental of Designing New Age Generative Vision Transformer 9. Implementing Generative Vision Transformer 10. Architectural Refactoring for Generative Modeling 11. Major Technical Roadblocks in Generative AI and Way Forward 12. Overview and Application of Generative AI Models 13. Key Learnings

Grokking Machine Learning

Author : Luis Serrano
Publisher : Simon and Schuster
ISBN 13 : 1617295914
Total Pages : 510 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Grokking Machine Learning by : Luis Serrano

Download or read book Grokking Machine Learning written by Luis Serrano and published by Simon and Schuster. This book was released on 2021-12-14 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you'll build interesting projects with Python, including models for spam detection and image recognition. You'll also pick up practical skills for cleaning and preparing data.

Generative AI with Tensor Flow

Author : Anand Vemula
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 71 pages
Book Rating : 4./5 ( download)

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Book Synopsis Generative AI with Tensor Flow by : Anand Vemula

Download or read book Generative AI with Tensor Flow written by Anand Vemula and published by Anand Vemula. This book was released on with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Exploring Generative AI: From Fundamentals to Applications" is a comprehensive guide to understanding and applying generative artificial intelligence (AI). The book is divided into five parts, each covering essential aspects of generative AI, from foundational concepts to advanced techniques, practical applications, and future directions. In Part I, "Introduction to Generative AI," readers are introduced to the fundamental concepts of generative models, TensorFlow, and setting up a development environment. This section lays the groundwork for understanding how generative AI works and provides the necessary tools for experimentation. Part II, "Fundamentals of Generative Models," explores key techniques such as autoencoders, variational autoencoders (VAEs), generative adversarial networks (GANs), and conditional GANs. Each chapter provides in-depth explanations of the architecture, training methods, and real-world applications of these models. In Part III, "Advanced Topics in Generative AI," readers dive deeper into advanced techniques such as deep convolutional GANs (DCGANs), StyleGAN, recurrent neural networks (RNNs) for generative sequences, and reinforcement learning for generative AI. These chapters explore cutting-edge research and developments in the field, providing insights into the latest advancements and future trends. Part IV, "Applications of Generative AI," showcases the diverse applications of generative AI across various domains, including image generation and manipulation, text generation, music generation, and healthcare. Readers learn how generative models are being used to solve real-world problems and drive innovation in fields such as healthcare, entertainment, and creative industries. Finally, in Part V, "Future Directions and Ethical Considerations," the book examines emerging trends in generative AI and addresses ethical considerations and challenges associated with the technology. Readers gain insights into the potential societal impacts of generative AI and the importance of responsible AI development and governance. "Exploring Generative AI: From Fundamentals to Applications" is a valuable resource for students, researchers, and practitioners interested in understanding and leveraging the power of generative AI to drive innovation and address complex challenges in today's rapidly evolving world.