Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
How To Develop A Qa Strategy With Generative Ai
Download How To Develop A Qa Strategy With Generative Ai full books in PDF, epub, and Kindle. Read online How To Develop A Qa Strategy With Generative Ai ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis How to Develop a QA Strategy with Generative AI by : Bosun Sogeke
Download or read book How to Develop a QA Strategy with Generative AI written by Bosun Sogeke and published by Bosun Sogeke. This book was released on 2024-08-16 with total page 71 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving landscape of software development, Quality Assurance (QA) plays a pivotal role in ensuring the reliability and performance of applications. "How to Develop a QA Strategy with Generative AI" provides a comprehensive guide to leveraging cutting-edge Generative AI technologies to enhance your QA processes. This ebook delves into the practical steps required to integrate AI into your existing QA workflows, from selecting the right tools to implementing automated testing and predictive analytics. Through detailed case studies, real-world examples, and step-by-step instructions, you’ll learn how to automate repetitive tasks, improve test accuracy, and significantly reduce testing cycles. Whether you’re a QA manager, software engineer, or tech enthusiast, this guide offers valuable insights into the future of QA. Discover how AI-driven tools can transform your approach to software quality, leading to better products and satisfied customers.
Book Synopsis AI-Assisted Testing by : Mark Winteringham
Download or read book AI-Assisted Testing written by Mark Winteringham and published by Manning. This book was released on 2024-11-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Speed up your testing and deliver exceptional code quality with the power of AI tools. The more you test, the more you learn about your software. AI-Assisted Testing shows you how you can expand, automate, and enhance your testing with Large Language Model (LLM)-based AI. Your team will soon be delivering higher quality tests, all in less time. Inside AI-Assisted Testing you’ll learn how to: Spot opportunities to improve test quality with AI Construct test automation with the support of AI tools Formulate new ideas during exploratory testing using AI tools Use AI tools to aid the design process of new features Improve the testability of a context with the help of AI tools Maximize your output with prompt engineering Create custom LLMs for your business’s specific needs AI-Assisted Testing is full of hype-free advice for supporting your software testing with AI. Inside, you’ll find strategies from bestselling author Mark Winteringham to generate synthetic testing data, implement automation, and even augment and improve your test design with AI. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book In AI-Assisted Testing, you’ll explore almost every aspect of testing—automation, test data management, test scripting, exploratory testing, and more—and learn how AI can assist and enhance each one. Each example is rooted in the kind of testing problems you’ll encounter every day. See how you can use GitHub CoPilot to guide your test-driven development, get meaningful code feedback from ChatGPT, and use the OpenAI API to integrate AI into your data generation. You’ll master best practices for prompt engineering and even learn how to enhance an open source LLM for your team’s precise requirements. Soon, you’ll have the best of both worlds—higher quality testing that takes up less of your time! About the reader For developers, testers, and QA specialists who are confident in testing. About the author Mark Winteringham is an experienced software tester who teaches many aspects of software testing.
Book Synopsis Solutions Architect's Handbook by : Saurabh Shrivastava
Download or read book Solutions Architect's Handbook written by Saurabh Shrivastava and published by Packt Publishing Ltd. This book was released on 2024-03-29 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: From fundamentals and design patterns to the latest techniques such as generative AI, machine learning and cloud native architecture, gain all you need to be a pro Solutions Architect crafting secure and reliable AWS architecture. Key Features Hits all the key areas -Rajesh Sheth, VP, Elastic Block Store, AWS Offers the knowledge you need to succeed in the evolving landscape of tech architecture - Luis Lopez Soria, Senior Specialist Solutions Architect, Google A valuable resource for enterprise strategists looking to build resilient applications - Cher Simon, Principal Solutions Architect, AWS Book DescriptionMaster the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.What you will learn Explore various roles of a solutions architect in the enterprise Apply design principles for high-performance, cost-effective solutions Choose the best strategies to secure your architectures and boost availability Develop a DevOps and CloudOps mindset for collaboration, operational efficiency, and streamlined production Apply machine learning, data engineering, LLMs, and generative AI for improved security and performance Modernize legacy systems into cloud-native architectures with proven real-world strategies Master key solutions architect soft skills Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and some awareness of cloud technology.
Book Synopsis AI-DRIVEN TEST STRATEGIES Enhancing Quality and Efficiency in Software Development by : Phani Durga Nanda Kishore Kommisetty
Download or read book AI-DRIVEN TEST STRATEGIES Enhancing Quality and Efficiency in Software Development written by Phani Durga Nanda Kishore Kommisetty and published by JEC PUBLICATION. This book was released on with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: .....
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 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: 2024 Edition – Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants. The 2024 edition features updated code examples and an improved GitHub repository. Purchase of the print or Kindle book includes a free PDF eBook. Key Features Learn how to leverage LangChain to work around LLMs’ inherent weaknesses Delve into LLMs with LangChain and explore 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 Gemini. It 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 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 LangChain. 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 using LangChain. Basic knowledge of Python is a prerequisite, while prior exposure to machine learning will help you follow along more easily.
Book Synopsis The Machine Learning Solutions Architect Handbook by : David Ping
Download or read book The Machine Learning Solutions Architect Handbook written by David Ping and published by Packt Publishing Ltd. This book was released on 2024-04-15 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python and AWS Purchase of the print or Kindle book includes a free PDF eBook Key Features Go in-depth into the ML lifecycle, from ideation and data management to deployment and scaling Apply risk management techniques in the ML lifecycle and design architectural patterns for various ML platforms and solutions Understand the generative AI lifecycle, its core technologies, and implementation risks Book DescriptionDavid Ping, Head of GenAI and ML Solution Architecture for global industries at AWS, provides expert insights and practical examples to help you become a proficient ML solutions architect, linking technical architecture to business-related skills. You'll learn about ML algorithms, cloud infrastructure, system design, MLOps , and how to apply ML to solve real-world business problems. David explains the generative AI project lifecycle and examines Retrieval Augmented Generation (RAG), an effective architecture pattern for generative AI applications. You’ll also learn about open-source technologies, such as Kubernetes/Kubeflow, for building a data science environment and ML pipelines before building an enterprise ML architecture using AWS. As well as ML risk management and the different stages of AI/ML adoption, the biggest new addition to the handbook is the deep exploration of generative AI. By the end of this book , you’ll have gained a comprehensive understanding of AI/ML across all key aspects, including business use cases, data science, real-world solution architecture, risk management, and governance. You’ll possess the skills to design and construct ML solutions that effectively cater to common use cases and follow established ML architecture patterns, enabling you to excel as a true professional in the field.What you will learn Apply ML methodologies to solve business problems across industries Design a practical enterprise ML platform architecture Gain an understanding of AI risk management frameworks and techniques Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using artificial intelligence services and custom models Dive into generative AI with use cases, architecture patterns, and RAG Who this book is for This book is for solutions architects working on ML projects, ML engineers transitioning to ML solution architect roles, and MLOps engineers. Additionally, data scientists and analysts who want to enhance their practical knowledge of ML systems engineering, as well as AI/ML product managers and risk officers who want to gain an understanding of ML solutions and AI risk management, will also find this book useful. A basic knowledge of Python, AWS, linear algebra, probability, and cloud infrastructure is required before you get started with this handbook.
Book Synopsis Future-Proofing Software by : Rohit Khankhoje
Download or read book Future-Proofing Software written by Rohit Khankhoje and published by . This book was released on 2024-02-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In "Future-Proofing Software: Navigating Quality Assurance and AI in the Digital Age," readers are invited on a compelling journey through the evolving landscape of software development, where the integration of quality assurance (QA) and artificial intelligence (AI) stands at the forefront of innovation. This insightful guide explores the critical role of QA in ensuring software reliability, performance, and security, while embracing AI as a transformative tool for automating testing, enhancing decision-making, and predicting future trends. As digital technologies advance at an unprecedented pace, the need for robust, adaptable software has never been more acute. This book offers a blueprint for developers, QA professionals, and IT managers to navigate this complex terrain. Through real-world examples, case studies, and practical strategies, it illuminates the path to creating resilient, future-proof software solutions that can stand the test of time in a rapidly changing digital ecosystem. With a focus on fostering a culture of continuous improvement and innovation, "Future-Proofing Software" delves into the methodologies, tools, and frameworks that facilitate the seamless integration of QA and AI. From harnessing machine learning for smarter testing processes to adopting agile practices for dynamic development environments, this book equips readers with the knowledge to lead their software projects towards success in the digital age. Whether you're looking to enhance your current QA processes, explore the potential of AI in software development, or stay ahead of industry trends, "Future-Proofing Software: Navigating Quality Assurance and AI in the Digital Age" offers a comprehensive and forward-thinking approach to mastering the challenges and opportunities of modern software development.
Book Synopsis Generative AI Security by : Ken Huang
Download or read book Generative AI Security written by Ken Huang and published by Springer Nature. This book was released on with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Software Design X-Rays by : Adam Tornhill
Download or read book Software Design X-Rays written by Adam Tornhill and published by Pragmatic Bookshelf. This book was released on 2018-03-08 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you working on a codebase where cost overruns, death marches, and heroic fights with legacy code monsters are the norm? Battle these adversaries with novel ways to identify and prioritize technical debt, based on behavioral data from how developers work with code. And that's just for starters. Because good code involves social design, as well as technical design, you can find surprising dependencies between people and code to resolve coordination bottlenecks among teams. Best of all, the techniques build on behavioral data that you already have: your version-control system. Join the fight for better code! Use statistics and data science to uncover both problematic code and the behavioral patterns of the developers who build your software. This combination gives you insights you can't get from the code alone. Use these insights to prioritize refactoring needs, measure their effect, find implicit dependencies between different modules, and automatically create knowledge maps of your system based on actual code contributions. In a radical, much-needed change from common practice, guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Discover a comprehensive set of practical analysis techniques based on version-control data, where each point is illustrated with a case study from a real-world codebase. Because the techniques are language neutral, you can apply them to your own code no matter what programming language you use. Guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Apply research findings from social psychology to software development, ensuring you get the tools you need to coach your organization towards better code. If you're an experienced programmer, software architect, or technical manager, you'll get a new perspective that will change how you work with code. What You Need: You don't have to install anything to follow along in the book. TThe case studies in the book use well-known open source projects hosted on GitHub. You'll use CodeScene, a free software analysis tool for open source projects, for the case studies. We also discuss alternative tooling options where they exist.
Book Synopsis Leading Quality by : Ronald Cummings - John
Download or read book Leading Quality written by Ronald Cummings - John and published by Roi Press. This book was released on 2019-07-30 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: What makes the world's leading engineering and QA teams so successful? Learn from Google, Etsy, The New York Times, GitHub, King, HelloFresh and many more. Leading Quality is the ultimate guide to becoming a leader of quality, mastering strategic decisions and enabling your team to accelerate growth.
Book Synopsis The AI Revolution in Project Management by : Vijay Kanabar
Download or read book The AI Revolution in Project Management written by Vijay Kanabar and published by Sams Publishing. This book was released on 2023-12-08 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where technology is rapidly evolving, the fusion of project management and artificial intelligence stands at the forefront of innovation. The AI Revolution in Project Management delves deep into the transformative power of generative AI tools that promise to reshape industries, and revolutionize how we manage projects. Whether you're looking to build dynamic teams using AI, choose a project development approach, or monitor project performance, this book has got you covered. Each chapter provides insightful narratives and includes a supplemental Technical Guide that provides tips on using the AI technology. With case studies and prompts, the dialogues showcase AI in action, from stakeholder engagement to risk management. Dive in with experts who’ve spent countless hours using these AI tools in project scenarios to offer a transparent view into generative AI-driven project management. In this book you'll learn: How to create prompts that generate meaningful and actionable insights tailored for your projects When to use AI to enhance decision-making, super-charge productivity, and elevate overall project efficiency Which generative AI models and plug-ins to use for specific project scenarios, ensuring seamless integration and maximum efficiency "AI is not just a buzzword; it’s a tool reshaping how we manage projects and engage with stakeholders." - From the Foreward by Ricardo Viana Vargas, Ph.D. Ricardo is an experienced leader in global operations, project management, business transformation, and crisis management. As founder and managing director of Macrosolutions, a consulting firm with international operations in energy, infrastructure, IT, oil, and finance, he managed more than $20 billion in international projects in the past 25 years. Update As AI products continue to evolve, information published in this book may change. Please note that as of February 2024, there is a name change for Bing Chat and Bard Chat. Microsoft Bing Chat is now Copilot: https://copilot.microsoft.com/. Google Bard is now Gemini: https://gemini.google.com/.
Book Synopsis Artificial Intelligence in Drug Discovery by : Nathan Brown
Download or read book Artificial Intelligence in Drug Discovery written by Nathan Brown and published by Royal Society of Chemistry. This book was released on 2020-11-04 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
Book Synopsis Interpretable Machine Learning with Python by : Serg Masís
Download or read book Interpretable Machine Learning with Python written by Serg Masís and published by Packt Publishing Ltd. This book was released on 2021-03-26 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable models Key Features Learn how to extract easy-to-understand insights from any machine learning model Become well-versed with interpretability techniques to build fairer, safer, and more reliable models Mitigate risks in AI systems before they have broader implications by learning how to debug black-box models Book DescriptionDo you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf. We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining. By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning. What you will learn Recognize the importance of interpretability in business Study models that are intrinsically interpretable such as linear models, decision trees, and Naïve Bayes Become well-versed in interpreting models with model-agnostic methods Visualize how an image classifier works and what it learns Understand how to mitigate the influence of bias in datasets Discover how to make models more reliable with adversarial robustness Use monotonic constraints to make fairer and safer models Who this book is for This book is primarily written for data scientists, machine learning developers, and data stewards who find themselves under increasing pressures to explain the workings of AI systems, their impacts on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a solid grasp on the Python programming language and ML fundamentals is needed to follow along.
Book Synopsis Working Effectively with Legacy Code by : Michael Feathers
Download or read book Working Effectively with Legacy Code written by Michael Feathers and published by Prentice Hall Professional. This book was released on 2004-09-22 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get more out of your legacy systems: more performance, functionality, reliability, and manageability Is your code easy to change? Can you get nearly instantaneous feedback when you do change it? Do you understand it? If the answer to any of these questions is no, you have legacy code, and it is draining time and money away from your development efforts. In this book, Michael Feathers offers start-to-finish strategies for working more effectively with large, untested legacy code bases. This book draws on material Michael created for his renowned Object Mentor seminars: techniques Michael has used in mentoring to help hundreds of developers, technical managers, and testers bring their legacy systems under control. The topics covered include Understanding the mechanics of software change: adding features, fixing bugs, improving design, optimizing performance Getting legacy code into a test harness Writing tests that protect you against introducing new problems Techniques that can be used with any language or platform—with examples in Java, C++, C, and C# Accurately identifying where code changes need to be made Coping with legacy systems that aren't object-oriented Handling applications that don't seem to have any structure This book also includes a catalog of twenty-four dependency-breaking techniques that help you work with program elements in isolation and make safer changes.
Book Synopsis The Innovation Ultimatum by : Steve Brown
Download or read book The Innovation Ultimatum written by Steve Brown and published by John Wiley & Sons. This book was released on 2020-01-29 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepares leaders for the 2020s—an accessible guide to the key technologies that will reshape business in the coming decade Most businesses identify six key digital technologies—artificial intelligence (AI), distributed ledgers and blockchain, the Internet of Things (IoT), autonomous machines, virtual and augmented reality, and 5G communication—as critical to their relevance and growth over the coming ten years. These new disruptive technologies present significant opportunity for businesses in every industry. The first businesses to understand automation and these transformative technologies will be the ones to reap the greatest rewards in the marketplace. The Innovation Ultimatum helps leaders understand the key technologies poised to reshape business in the next decade and prepare their organizations for technology-enabled change. Using straightforward, jargon-free language, this important resource provides a set of strategic questions every leader will need to ask and answer in order to prepare for the impending changes to the business landscape. Author Steve Brown shares his insights to help leaders take full advantage of the next wave of digital transformation and describes compelling examples of how businesses are already embracing new technologies to optimize operations, create new value, and serve customers in new ways. Written for anyone that wants to understand how automation and new technology will fundamentally restructure business, this book enables readers to: Understand the implications of technology-driven change across industrial sectors Apply important insights to their own business Gain competitive advantage by implementing new technologies Prepare for the future of work and understand the skills needed to thrive in a post-automation economy Adopt critical digital technologies in any organization Providing invaluable cutting-edge content, The Innovation Ultimatum is a much-needed source of guidance and inspiration for business leaders, board members, C-suite executives, and senior managers who need to prepare their businesses for the future.
Book Synopsis The User's Journey by : Donna Lichaw
Download or read book The User's Journey written by Donna Lichaw and published by Rosenfeld Media. This book was released on 2016-03-22 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Like a good story, successful design is a series of engaging moments structured over time. The User’s Journey will show you how, when, and why to use narrative structure, technique, and principles to ideate, craft, and test a cohesive vision for an engaging outcome. See how a “story first” approach can transform your product, feature, landing page, flow, campaign, content, or product strategy.
Book Synopsis Trends in Software Testing by : Hrushikesha Mohanty
Download or read book Trends in Software Testing written by Hrushikesha Mohanty and published by Springer. This book was released on 2016-07-26 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on the advancements in the field of software testing and the innovative practices that the industry is adopting. Considering the widely varied nature of software testing, the book addresses contemporary aspects that are important for both academia and industry. There are dedicated chapters on seamless high-efficiency frameworks, automation on regression testing, software by search, and system evolution management. There are a host of mathematical models that are promising for software quality improvement by model-based testing. There are three chapters addressing this concern. Students and researchers in particular will find these chapters useful for their mathematical strength and rigor. Other topics covered include uncertainty in testing, software security testing, testing as a service, test technical debt (or test debt), disruption caused by digital advancement (social media, cloud computing, mobile application and data analytics), and challenges and benefits of outsourcing. The book will be of interest to students, researchers as well as professionals in the software industry.
