Generative AI for Effective Software Development

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Author :
Publisher : Springer Nature
ISBN 13 : 3031556429
Total Pages : 346 pages
Book Rating : 4.25/5 ( download)

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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 Software Development

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Author :
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.93/5 ( download)

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Book Synopsis Generative AI in Software Development by : Jesse Sprinter

Download or read book Generative AI in Software Development written by Jesse Sprinter and published by Independently Published. This book was released on 2023-10-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the Future of Software Development Unlock the secrets of Artificial Intelligence and transform the way you develop software. "Generative AI in Software Development" is your essential guide to the latest AI techniques, demystified in clear, simple language. Whether you're a seasoned developer or a newcomer to coding, this book is your ticket to a brighter, more efficient future in software development.

Mastering Generative AI Software Development

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Author :
Publisher : Anand Vemula
ISBN 13 :
Total Pages : 42 pages
Book Rating : 4./5 ( download)

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Book Synopsis Mastering Generative AI Software Development by : Anand Vemula

Download or read book Mastering Generative AI Software Development written by Anand Vemula and published by Anand Vemula. This book was released on with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Generative Analysis: The Power of Generative AI for Object-Oriented Software Engineering with UML

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Publisher : Addison-Wesley Professional
ISBN 13 : 9780138291426
Total Pages : 0 pages
Book Rating : 4.2X/5 ( download)

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Book Synopsis Generative Analysis: The Power of Generative AI for Object-Oriented Software Engineering with UML by : Jim Arlow

Download or read book Generative Analysis: The Power of Generative AI for Object-Oriented Software Engineering with UML written by Jim Arlow and published by Addison-Wesley Professional. This book was released on 2024-02-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Generative Software Engineering

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.12/5 ( download)

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Book Synopsis Generative Software Engineering by : David Hendrickson

Download or read book Generative Software Engineering written by David Hendrickson and published by . This book was released on 2023-07-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative Software Engineering: A New Approach to Human-Centered Software Development by David Hendrickson, Ph.D., redefines software development in the era of generative AI. This groundbreaking book explores the dynamic intersection of artificial intelligence and traditional software engineering practices, providing a comprehensive guide for developers, managers, and executives interested in navigating the evolving digital landscape. As the rise of generative AI threatens to eclipse the role of human software developers, David Hendrickson proposes an evolutionary approach. Instead of competing against AI, developers can learn to collaborate with it, harnessing its immense power to create intricate, efficient software systems. Generative Software Engineering, as the author calls it, is an innovative discipline that blends the best of both worlds: the precision and speed of AI and the creativity and strategic thinking of human developers. Throughout the book, David Hendrickson shares his vision for a future where software engineers focus on higher-level concerns, leaving the underlying code to AI. He discusses the role of prompt engineering, requirements engineering, and the critical aspects of reliability engineering, software quality assurance, and simulation and modeling of software systems. The book also includes an in-depth exploration of ethical implications and potential challenges associated with developing AI-assisted software and discusses its regulation and use in regulated industries. David Hendrickson, a veteran software developer, and executive, brings over three decades of industry experience. His firsthand accounts and unique insights are informative and thought-provoking, inspiring readers to embrace the inevitable changes and adapt to new realities. Whether you're a seasoned developer, a novice coder, or a technology executive, this book is an invaluable resource that will help you stay relevant in the rapidly evolving world of software development.

Artificial Intelligence Methods For Software Engineering

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Author :
Publisher : World Scientific
ISBN 13 : 9811239932
Total Pages : 457 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis Artificial Intelligence Methods For Software Engineering by : Meir Kalech

Download or read book Artificial Intelligence Methods For Software Engineering written by Meir Kalech and published by World Scientific. This book was released on 2021-06-15 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software is an integral part of our lives today. Modern software systems are highly complex and often pose new challenges in different aspects of Software Engineering (SE).Artificial Intelligence (AI) is a growing field in computer science that has been proven effective in applying and developing AI techniques to address various SE challenges.This unique compendium covers applications of state-of-the-art AI techniques to the key areas of SE (design, development, debugging, testing, etc).All the materials presented are up-to-date. This reference text will benefit researchers, academics, professionals, and postgraduate students in AI, machine learning and software engineering.Related Link(s)

GenAI on AWS

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Publisher : Wiley
ISBN 13 : 9781394281282
Total Pages : 0 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis GenAI on AWS by : Asif Abbasi

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

Generative AI with LangChain

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1835088368
Total Pages : 361 pages
Book Rating : 4.64/5 ( download)

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Book Synopsis Generative AI with LangChain by : Ben Auffarth

Download or read book Generative AI with LangChain written by Ben Auffarth and published by Packt Publishing Ltd. This book was released on 2023-12-22 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants. Code examples are regularly updated on GitHub to keep you abreast of the latest LangChain developments. Purchase of the print or Kindle book includes a free PDF eBook. Key Features GitHub repository updated regularly to stay abreast of LangChain developments Delve into the realm of LLMs with LangChain and go on an in-depth exploration of their fundamentals, ethical dimensions, and application challenges Get better at using ChatGPT and GPT models, from heuristics and training to scalable deployment, empowering you to transform ideas into reality Book DescriptionChatGPT and the GPT models by OpenAI have brought about a revolution not only in how we write and research but also in how we can process information. This book discusses the functioning, capabilities, and limitations of LLMs underlying chat systems, including ChatGPT and Bard. It also demonstrates, in a series of practical examples, how to use the LangChain framework to build production-ready and responsive LLM applications for tasks ranging from customer support to software development assistance and data analysis – illustrating the expansive utility of LLMs in real-world applications. Unlock the full potential of LLMs within your projects as you navigate through guidance on fine-tuning, prompt engineering, and best practices for deployment and monitoring in production environments. Whether you're building creative writing tools, developing sophisticated chatbots, or crafting cutting-edge software development aids, this book will be your roadmap to mastering the transformative power of generative AI with confidence and creativity.What you will learn Understand LLMs, their strengths and limitations Grasp generative AI fundamentals and industry trends Create LLM apps with LangChain like question-answering systems and chatbots Understand transformer models and attention mechanisms Automate data analysis and visualization using pandas and Python Grasp prompt engineering to improve performance Fine-tune LLMs and get to know the tools to unleash their power Deploy LLMs as a service with LangChain and apply evaluation strategies Privately interact with documents using open-source LLMs to prevent data leaks Who this book is for The book is for developers, researchers, and anyone interested in learning more about LLMs. Whether you are a beginner or an experienced developer, this book will serve as a valuable resource if you want to get the most out of LLMs and are looking to stay ahead of the curve in the LLMs and LangChain arena. Basic knowledge of Python is a prerequisite, while some prior exposure to machine learning will help you follow along more easily.

South African Computer Science and Information Systems Research Trends

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Publisher : Springer Nature
ISBN 13 : 3031648811
Total Pages : 467 pages
Book Rating : 4.16/5 ( download)

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Book Synopsis South African Computer Science and Information Systems Research Trends by : Aurona Gerber

Download or read book South African Computer Science and Information Systems Research Trends written by Aurona Gerber and published by Springer Nature. This book was released on with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The AI Ladder

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492073385
Total Pages : 238 pages
Book Rating : 4.83/5 ( download)

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Book Synopsis The AI Ladder by : Rob Thomas

Download or read book The AI Ladder written by Rob Thomas and published by "O'Reilly Media, Inc.". This book was released on 2020-04-30 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI may be the greatest opportunity of our time, with the potential to add nearly $16 trillion to the global economy over the next decade. But so far, adoption has been much slower than anticipated, or so headlines may lead you to believe. With this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization. Authors Rob Thomas and Paul Zikopoulos from IBM introduce C-suite executives and business professionals to the AI Ladder—a unified, prescriptive approach to help them understand and accelerate the AI journey. Complete with real-world examples and real-life experiences, this book explores AI drivers, value, and opportunity, as well as the adoption challenges organizations face. Understand why you can’t have AI without an information architecture (IA) Appreciate how AI is as much a cultural change as it is a technological one Collect data and make it simple and accessible, regardless of where it lives Organize data to create a business-ready analytics foundation Analyze data, and build and scale AI with trust and transparency Infuse AI throughout your entire business and create intelligent workflows