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Building Urban Resilience (Routledge Research in Sustainable Planning and Development in Asia) by J.J. Woo, Debbie R. Loo English | April 24, 2024 | ISBN: 0367696177 | 96 pages | PDF | 5.74 Mb This is one of the first few books to discuss the Covid-19 crisis as an urban phenomenon and illustrates this through the case of Singapore and its pandemic response efforts. The book describes the implications and impacts of the pandemic on Singapore's urban landscape, economy, and society. It also assesses the urban interventions that have emerged in response to the pandemic. It examines the spatial implications and challenges of delineating safe distancing in various public and commercial spaces and evaluates the effectiveness of these interventions. The book also explains how Singapore's smart city capabilities help with its Covid-19 response. This book will be of great interest to urban planners, healthcare professionals, and policymakers across the world, particularly those who are hoping to learn from the success and limitations of Singapore's Covid-19 responses. Download Links RapidGator https://rg.to/file/e41eae37c575f6d99595d640b733ba6a/ixyjk.7z.html TakeFile https://takefile.link/xcn9qf1tnuc8/ixyjk.7z.html Fileaxa https://fileaxa.com/w9cb0593v30r/ixyjk.7z Fikper https://fikper.com/Y2mNGZq1Fn/ixyjk.7z.html

Building Modern Web Apps with Vue.js: A Practical Guide to Building Interactive Front-End Applications by THOMPSON CARTER English | November 12, 2024 | ISBN: N/A | ASIN: B0DMW739K2 | 233 pages | EPUB | 0.32 Mb Building Modern Web Apps with Vue.js is your comprehensive, practical guide to mastering one of today's most dynamic and accessible front-end frameworks. This book takes you step-by-step through creating responsive, highly interactive web applications, all while harnessing the powerful simplicity of Vue.js. Whether you're a seasoned developer looking to expand your skills or a beginner aiming to dive into modern web development, this book delivers everything you need to succeed. With Building Modern Web Apps with Vue.js, you'll learn how to create visually stunning, efficient, and reliable web apps that captivate users and perform seamlessly. Discover how to build and structure apps from the ground up, effectively manage data, and integrate APIs. Each chapter provides hands-on exercises and real-world examples to help you build an impressive portfolio of Vue-powered applications. Transform your ideas into interactive experiences as you:Explore the foundations of Vue.js and understand its strengths.Develop reusable components and scale apps effortlessly.Utilize Vue CLI and Vuex for efficient app management.Implement robust routing with Vue Router.Integrate modern web features, including dynamic data handling and RESTful APIs.Building Modern Web Apps with Vue.js isn't just about code; it's about understanding the principles of good design and user experience, essential for every professional developer. By the end of this book, you'll be equipped with the skills to build apps that stand out in the competitive world of web development. Ready to bring your ideas to life with Vue.js? This book is the tool you need to transform from developer to creator. Don't wait - the future of web development is here, and Vue.js is your gateway to it. Download Links RapidGator https://rg.to/file/c2ae39406140e941dfbc23c3e7112117/ybap2.7z.html TakeFile https://takefile.link/gm328dcevul9/ybap2.7z.html Fileaxa https://fileaxa.com/631acb2usqww/ybap2.7z Fikper https://fikper.com/Kvtjds7bTn/ybap2.7z.html

Building Modern Web Applications with ASP.NET Core 9.0 and Angular 18 English | 2025 | ASIN : B0DTG996YC | 176 Pages | EPUB | 0.6 MB This book is your complete guide to mastering the art of modern web development. By combining the robust capabilities of ASP.NET Core 9.0 with the dynamic front-end power of Angular 18, you'll learn to craft seamless applications that deliver exceptional user experiences. Starting from foundational concepts, this book walks you through building robust APIs, creating intuitive user interfaces, and integrating them into a cohesive, high-performing application. Download Links RapidGator https://rg.to/file/cec69e11338fa419604c129eb1340169/5xyiy.7z.html TakeFile https://takefile.link/5z8o1u31k8eh/5xyiy.7z.html Fileaxa https://fileaxa.com/jwopjvtnp80j/5xyiy.7z Fikper https://fikper.com/bkFdPj2vnh/5xyiy.7z.html

Building Modern Data Applications Using Databricks Lakehouse: Develop, optimize, and monitor data pipelines on Databricks by Will Girten English | October 31, 2024 | ISBN: 1801073236 | 246 pages | EPUB | 9.61 Mb Get up to speed with the Databricks Data Intelligence Platform to build and scale modern data applications, leveraging the latest advancements in data engineering Key FeaturesLearn how to work with real-time data using Delta Live TablesUnlock insights into the performance of data pipelines using Delta Live TablesApply your knowledge to Unity Catalog for robust data security and governancePurchase of the print or Kindle book includes a free PDF eBookBook Description With so many tools to choose from in today's data engineering development stack as well as operational complexity, this often overwhelms data engineers, causing them to spend less time gleaning value from their data and more time maintaining complex data pipelines. Guided by a lead specialist solutions architect at Databricks with 10+ years of experience in data and AI, this book shows you how the Delta Live Tables framework simplifies data pipeline development by allowing you to focus on defining input data sources, transformation logic, and output table destinations. This book gives you an overview of the Delta Lake format, the Databricks Data Intelligence Platform, and the Delta Live Tables framework. It teaches you how to apply data transformations by implementing the Databricks medallion architecture and continuously monitor the data quality of your pipelines. You'll learn how to handle incoming data using the Databricks Auto Loader feature and automate real-time data processing using Databricks workflows. You'll master how to recover from runtime errors automatically. By the end of this book, you'll be able to build a real-time data pipeline from scratch using Delta Live Tables, leverage CI/CD tools to deploy data pipeline changes automatically across deployment environments, and monitor, control, and optimize cloud costs. What you will learnDeploy near-real-time data pipelines in Databricks using Delta Live TablesOrchestrate data pipelines using Databricks workflowsImplement data validation policies and monitor/quarantine bad dataApply slowly changing dimensions (SCD), Type 1 and 2, data to lakehouse tablesSecure data access across different groups and users using Unity CatalogAutomate continuous data pipeline deployment by integrating Git with build tools such as Terraform and Databricks Asset BundlesWho this book is for This book is for data engineers looking to streamline data ingestion, transformation, and orchestration tasks. Data analysts responsible for managing and processing lakehouse data for analysis, reporting, and visualization will also find this book beneficial. Additionally, DataOps/DevOps engineers will find this book helpful for automating the testing and deployment of data pipelines, optimizing table tasks, and tracking data lineage within the lakehouse. Beginner-level knowledge of Apache Spark and Python is needed to make the most out of this book. Table of ContentsAn Introduction to Delta Live TablesApplying Data Transformations Using Delta Live TablesManaging Data Quality Using Delta Live TablesScaling DLT PipelinesMastering Data Governance in the Lakehouse with Unity CatalogManaging Data Locations in Unity CatalogViewing Data Lineage Using Unity CatalogDeploying, Maintaining, and Administrating DLT Pipelines Using TerraformLeveraging Databricks Asset Bundles to Streamline Data Pipeline DeploymentMonitoring Data Pipelines in Production Download Links RapidGator https://rg.to/file/6219f467f756dd1a5ff8ff04aa599ffd/0zcxb.7z.html TakeFile https://takefile.link/zp4sfr0cq3h9/0zcxb.7z.html Fileaxa https://fileaxa.com/7n2ufvez345z/0zcxb.7z Fikper https://fikper.com/y9BvCoGH7T/0zcxb.7z.html

Building LLM Apps: Create Intelligent Apps and Agents with Large Language Models English | 2024 | ISBN: 9781835462317 | 334 Pages | PDF EPUB (True) | 33 MB The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain. We guide readers through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio. Download Links RapidGator https://rg.to/file/0205ddd79bd7826a8d371bc4ab419de5/10dxo.7z.html TakeFile https://takefile.link/8ninp4hyxvr0/10dxo.7z.html Fileaxa https://fileaxa.com/bek4btm83dxd/10dxo.7z Fikper https://fikper.com/BXSgQVLvUx/10dxo.7z.html

Building Interactive Dashboards in Microsoft 365 Excel: Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards by Michael Olafusi English | February 29, 2024 | ISBN: 1803237295 | 420 pages | EPUB | 94 Mb Unleash the full potential of Microsoft Excel's latest version and elevate your data-driven prowess with this comprehensive resource Key FeaturesCreate robust and automated dashboards in Excel for M365Apply data visualization principles and employ dynamic charts and tables to create constantly updated and informative dashboards for your organizationUncover the best practices for effective dashboard creationPurchase of the print or Kindle book includes a free PDF eBookBook Description M365 Excel is a modern Excel version that is constantly updated with features that make creating and automating analyses, reports, and dashboards very easy compared with older Excel versions. This book will help you leverage its full capabilities, beginning with a quick overview of what dashboards are and how they are different from other types of reports. Then, you'll familiarize yourself with the different standard dashboards currently available and what they are meant to accomplish for organizations. As you progress, you'll get to grips with the use of new powerful tools such as Power Query and dynamic array formulae in the automation of analysis, gaining insights into the right approach to take in building effective dashboards. You'll equip yourself with not only all the essential formulae, charts, and non-chart visuals but also learn how to set up your dashboard perfectly. Along the way, you'll build a couple of awesome dashboards from scratch to utilize your newfound knowledge. By the end of this book, you will be able to carry out an impressive and robust level of analysis on business data that may come from multiple sources or files, using better processes, formulae, and best practices in M365 to create insightful dashboards faster. What you will learnUnderstand the importance of dashboards in today's business analytics environmentDelve into the various essential formulae in ExcelUtilize Power Query to shape and transform data to extract insights easilyExplore the power of the new dynamic array functions in M365Employ PivotTable and Power Pivot to automate your dashboardsMaster the setup and optimization of your dashboard canvasDiscover best practices for visualization, charts, and effective dashboard creationConsolidate your knowledge through a hands-on concluding projectWho this book is for This book is for Microsoft Excel users, especially those tasked with creating dynamic reports and dashboards that require data and help support to decision-makers within an organization with visually engaging and actionable insights. Financial analysts, data analysts, business analysts, and BI professionals will also greatly benefit from this book. Some familiarity with the Microsoft Excel interface is a prerequisite. Table of ContentsDashboards, Reports, and M365 ExcelCommon Dashboards in Large CompaniesThe Importance of Connecting Directly to the Primary Data SourcesPower Query: the Ultimate Data Transformation ToolPivotTable and Power PivotMust-Know Legacy Excel FunctionsDynamic Array Functions and Lambda FunctionsGetting Comfortable with the 19 Excel ChartsNon-Chart VisualsSetting Up the Dashboard's Data ModelPerfecting the DashboardBest Practices for Real-World Dashboard Building Download Links RapidGator https://rg.to/file/d07ba75b2630d817c08f8b4fa204b2f4/2yqts.7z.html TakeFile https://takefile.link/flkfqehbfhwm/2yqts.7z.html Fileaxa https://fileaxa.com/bh8f7iqt9auc/2yqts.7z Fikper https://fikper.com/KsfFiYhBcx/2yqts.7z.html

Building Event-Driven Microservices, 2nd Edition (Early Release) English | 2025 | ISBN: 9798341622180 | 114 Pages | EPUB | 7.3 MB Event-driven microservices offer an optimal approach to harnessing event streams, reacting and responding to changes as they occur across your company. With this fully revised and updated guide, you'll learn how to build event streams, then apply the principles of event-driven architecture to create powerful microservice applications for your organization. Download Links RapidGator https://rg.to/file/5e327339d57d7be48b82fbf236cfc9bb/8bvt7.7z.html TakeFile https://takefile.link/1rkey6077zbd/8bvt7.7z.html Fileaxa https://fileaxa.com/hfs5zvbtr54s/8bvt7.7z Fikper https://fikper.com/OgSaMFYJ7u/8bvt7.7z.html

Building Embodied AI Systems: The Agents, the Architecture Principles, Challenges, and Application Domains English | 2025 | ISBN: 3031682556 | 821 Pages | PDF EPUB (True) | 53 MB This book is primed to demystify the emerging and evolving trend of embodied systems. It explains how these unique systems facilitate establishing smarter environments such as multi-specialty hospitals, manufacturing floors, warehouses, retail stores, defense zones, eating joints, entertainment plazas, etc., in detail for the benefit of our esteemed readers. To get a complete and actionable understanding of any mission-critical environment, we must deploy embodied systems. These systems, such as robots, drones, etc., are physical entities that are embedded and empowered with software systems. They interact with the environment in real time, providing context-aware services. There are chapters exclusively delineating the technologies behind the realization and deployment of such enigmatic systems. The prominent industrial use cases are explained in the latter chapters. Download Links RapidGator https://rg.to/file/45e4af2edb1dadbea3726d5f27075d2d/no6k8.7z.html TakeFile https://takefile.link/c1c764tj75ci/no6k8.7z.html Fileaxa https://fileaxa.com/gxglmuj7o1to/no6k8.7z Fikper https://fikper.com/0A0Z2l3VHY/no6k8.7z.html

Building Digital Twin Metaverse Cities: Revolutionizing Cities with Emerging Technologies (Maker Innovations Series) by Xiangming Samuel Li English | November 1, 2024 | ISBN: 8868808102 | 514 pages | MOBI | 18 Mb Why do we need to live in a smart city? Rapid urbanization causes compelling city problems worldwide, such as housing, traffic, schooling, healthcare, employment, and pollution. Numerous smart-city scholars and practitioners have attempted to tackle these problems but lack an integrated approach and practical implementation tools to solve them. This book explains how to build digital twin metaverse cities aimed to accelerate urban digital transformation through emerging technologies. You'll start by identifying a problem statement, designing a novel digital twin metaverse architecture, reviewing emerging technologies as building blocks and showcasing interesting applications. You'll then review state-of-the-art digital twin metaverse development tools and present readers with interesting engineering prototypes of my proposed digital twin smart cities. Finally, you'll discover how to avoid some management pitfalls during the construction of innovative smart cities, including project management, change management, leadership skills, and modern management information systems. With Building Digital Twin Metaverse Cities you'll work with a novel architectural design and use the latest technologies as building blocks to construct smart cities of your own. What You'll LearnExplore complex issues arising from rapid urbanization.Discover how emerging technologies like 5G, IoT, and AI can solve urban problems.Master the digital twinning process powered by the Data Analytics Flywheel.Explore core and enabling technologies shaping Digital Twin Metaverse Cities.Gain hands-on experience with development tools and prototypes for smart city applications.Who This Book Is For Professionals who want to learn emerging technologies and digital twin metaverse development tools to construct innovative smart cities to solve the current pressing urbanization problems. General readers like city residents and government officials worldwide, who are suffering from the growing pains of rapid urbanization and looking for effective smart city solutions using new technologies and methodology. Smart city researchers and college students wanting to build smart projects for urban digital transformation and smart Xs (everything). Download Links RapidGator https://rg.to/file/eb763fff733382f79ccc20f27b61a0a8/50m1o.7z.html TakeFile https://takefile.link/h08ifkbunxzv/50m1o.7z.html Fileaxa https://fileaxa.com/aov4jyxf3n8h/50m1o.7z Fikper https://fikper.com/zIxLUyLgWQ/50m1o.7z.html

Building Data Integration Solutions, Early Release English | 2024 | ISBN: 9781098173050 | 300 pages | EPUB | 2.56 Mb Are you struggling to manage and make sense of the vast streams of data flowing into your organization? In today's data-driven world, the ability to effectively unify and organize disparate data sources is not just an advantage-it's a necessity. The challenge lies in navigating the complexities of data diversity, volume, and regulatory demands, which can overwhelm even the most seasoned data professionals. In this essential book, Jay Borthen offers a comprehensive guide to understanding the art of data integration. This book dives deep into the processes and strategies necessary for creating effective data pipelines that ensure consistency, accuracy, and accessibility of your data. Whether you're a novice looking to understand the basics or an experienced professional aiming to refine your skills, Borthen's insights and practical advice, grounded in real-world case studies, will empower you to transform your organization's data handling capabilities. You will Understand various data integration solutions and how different technologies can be employed Gain insights into the relationship between data integration and the overall data lifecycle Learn to effectively design, set up, and manage data integration components within pipelines Acquire the knowledge to configure pipelines, perform data migrations, transformations, and more Download Links RapidGator https://rg.to/file/7118a2935f55b7394484ee171a72f3d2/yy1f4.7z.html TakeFile https://takefile.link/76qucv2hitz7/yy1f4.7z.html Fileaxa https://fileaxa.com/9sj1ozk0rjor/yy1f4.7z Fikper https://fikper.com/zhcv4dn6zd/yy1f4.7z.html

Building CLI Applications with .NET: Craft multi-platform CLI apps in .NET, from coding and testing to deployment English | 2025 | ASIN : B0DJCFS77P | 448 Pages | EPUB | 16 MB Developers and system administrators often face challenges like inefficient workflows, complex system operations, and the growing demand for robust automation tools. CLI applications provide a powerful solution by enhancing flexibility, efficiency, and productivity in various environments. This book will guide you through mastering the development of robust command-line tools using .NET. Download Links RapidGator https://rg.to/file/aebdc050c1a6829f8e74fe54efe89454/nd4f7.7z.html TakeFile https://takefile.link/lvhzpwgvna63/nd4f7.7z.html Fileaxa https://fileaxa.com/3d27kw7ilklx/nd4f7.7z Fikper https://fikper.com/piPRWVD4R0/nd4f7.7z.html

Building an Operating System with Rust: A Practical Guide by Robert Johnson English | October 26, 2024 | ISBN: N/A | ASIN: B0DL3QLT5T | 466 pages | PDF | 1.36 Mb "Building an Operating System with Rust: A Practical Guide" is an authoritative resource meticulously crafted to bridge the gap between theoretical understanding and practical implementation in the realm of operating system development. Leveraging Rust's modern approach to systems programming, this book is designed for readers aspiring to master the art of creating secure and efficient operating systems. It explores core concepts essential for system-level programming, encompassing memory management, process scheduling, file systems, and networking, all through the lens of Rust's compelling features like memory safety and concurrency. Structured to benefit beginners and seasoned developers alike, each chapter unfolds with detailed explanations paired with practical examples, covering both foundational theories and advanced topics. By integrating hands-on projects with comprehensive guides on utilizing Rust's unique programming paradigms, readers gain a profound appreciation of how Rust transforms complex system programming into a more approachable yet powerful discipline. This book not only equips developers to tackle real-world challenges but also positions them at the forefront of innovation in modern software engineering. Download Links RapidGator https://rg.to/file/25379e7bfe47cef63a34a2111694dfdb/rw6wg.7z.html TakeFile https://takefile.link/lp0m94luf4ef/rw6wg.7z.html Fileaxa https://fileaxa.com/unp8akv3gufs/rw6wg.7z Fikper https://fikper.com/1hVrEmCowo/rw6wg.7z.html

Building AI-Powered Products: The Essential Guide to AI and GenAI Product Management by Marily Nika English | April 1st, 2025 | ISBN: 1098152700 | 227 pages | True EPUB (Retail Copy) | 9.97 MB Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points. Whether you're already leading product teams or are an aspiring product manager, and regardless of your prior knowledge with AI, this guide will empower you to confidently navigate every stage of the AI product lifecycle. * Confidently manage AI product development with tools, frameworks, strategic insights, and real-world examples from Google, Meta, OpenAI, and more * Lead product orgs to solve real problems via agentic AI and GenAI capabilities * Gain AI Awareness and technical fluency to work with AI models, LLMs, and the algorithms that power them; get cross-functional alignment; make strategic trade-offs; and set OKRs Download Links RapidGator https://rg.to/file/367243696de5c3770542ad4b4f34d956/fz3ps.7z.html TakeFile https://takefile.link/mfe3uj1amjka/fz3ps.7z.html Fileaxa https://fileaxa.com/6g6i3mzfvqmh/fz3ps.7z Fikper https://fikper.com/adoI3RFZUS/fz3ps.7z.html

Building AI-Powered Products: The Essential Guide to AI and GenAI Product Management English | 2025 | ISBN: 1098152700 | 252 Pages | EPUB | 10 MB Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI-powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI into a playbook for driving innovation, solving user problems, and unlocking business growth. Download Links RapidGator https://rg.to/file/e3af48ef0479f21ca09443f3f087d8cd/lmfxc.7z.html TakeFile https://takefile.link/2qwazixhqqr0/lmfxc.7z.html Fileaxa https://fileaxa.com/3qes0kqpn0hu/lmfxc.7z Fikper https://fikper.com/VTyz1kyRaL/lmfxc.7z.html

Building a God: The Ethics of Artificial Intelligence and the Race to Control It by Christopher DiCarlo English | January 21st, 2025 | ISBN: 1493085883 | 376 pages | True EPUB (Retail Copy) | 7.60 MB Renowned ethicist provides essential guide to successfully navigating the future AI landscape In Building a God, Christopher DiCarlo explores the profound implications of artificial intelligence surpassing human intelligence-a destiny that seems not just possible, but inevitable. At this critical crossroad in our evolutionary history, DiCarlo, a renowned ethicist in AI, delves into the ethical mazes and technological quandaries of our future interactions with superior AI entities. From healthcare enhancements to the risks of digital manipulation, this book scrutinizes AI's dual potential to elevate or devastate humanity. DiCarlo advocates for robust global governance of AI, proposing visionary policies to safeguard our society. AI will positively impact our lives in myriad ways: from healthcare to education, manufacturing to sustainability, AI-powered tools will improve productivity and add ease to the most massive global industries and to our own personal daily routines alike. But, we have already witnessed the tip of the iceberg when it comes to the risks of this new technology: AI algorithms can manipulate human behavior, spread disinformation, shape public opinion, and impact democratic processes. Sophisticated technologies such as GPT-4, Dall-E 2, and video Deepfakes allow users to create, distort, and alter information. Perhaps more troubling is the foundational lack of transparency in both the utilization and design of AI models. What ethical precepts should be determined for AI, and by whom? And what will happen if rogue abusers decide not to comply with such ethical guidelines? How should we enforce these precepts? Should the UN develop a Charter or Accord which all member states agree to and sign off on? Should governments develop a form of international regulative body similar to the International Atomic Energy Agency (IAEA) which regulates not only the use of nuclear energy, but nuclear weaponry as well? In this incisive and cogent meditation on the future of AI, DiCarlo argues for the ethical governance of AI by identifying the key components, obstacles, and points of progress gained so far by the global community, and by putting forth thoughtful and measured policies to regulate this dangerous technology. Download Links RapidGator https://rg.to/file/6ca0711ad1e27576d3f132c8d3e5c22f/nw57m.7z.html TakeFile https://takefile.link/l3e4ln9xynv8/nw57m.7z.html Fileaxa https://fileaxa.com/oimzu0qjjofd/nw57m.7z Fikper https://fikper.com/RDtelvFydO/nw57m.7z.html

Building a God by Christopher DiCarlo English | January 21, 2025 | ISBN: 1493085891 | 405 Pages | True epub | 6,62 MB Renowned ethicist provides essential guide to successfully navigating the future AI landscape In Building a God, Christopher DiCarlo explores the profound implications of artificial intelligence surpassing human intelligence-a destiny that seems not just possible, but inevitable. At this critical crossroad in our evolutionary history, DiCarlo, a renowned ethicist in AI, delves into the ethical mazes and technological quandaries of our future interactions with superior AI entities. From healthcare enhancements to the risks of digital manipulation, this book scrutinizes AI's dual potential to elevate or devastate humanity. DiCarlo advocates for robust global governance of AI, proposing visionary policies to safeguard our society. AI will positively impact our lives in myriad ways: from healthcare to education, manufacturing to sustainability, AI-powered tools will improve productivity and add ease to the most massive global industries and to our own personal daily routines alike. But, we have already witnessed the tip of the iceberg when it comes to the risks of this new technology: AI algorithms can manipulate human behavior, spread disinformation, shape public opinion, and impact democratic processes. Sophisticated technologies such as GPT-4, Dall-E 2, and video Deepfakes allow users to create, distort, and alter information. Perhaps more troubling is the foundational lack of transparency in both the utilization and design of AI models. What ethical precepts should be determined for AI, and by whom? And what will happen if rogue abusers decide not to comply with such ethical guidelines? How should we enforce these precepts? Should the UN develop a Charter or Accord which all member states agree to and sign off on? Should governments develop a form of international regulative body similar to the International Atomic Energy Agency (IAEA) which regulates not only the use of nuclear energy, but nuclear weaponry as well? In this incisive and cogent meditation on the future of AI, DiCarlo argues for the ethical governance of AI by identifying the key components, obstacles, and points of progress gained so far by the global community, and by putting forth thoughtful and measured policies to regulate this dangerous technology. eBook Details: Christopher DiCarlo 405 Pages 9 - 10 Hours to read 125k Total words Release Date: January 21, 2025 ISBN-13: 9781493085897 ISBN-10: 1493085891 Language: English Format: epub ✅File Size: 6,62 MB Download Links RapidGator https://rg.to/file/d938e2d9aee69a32756313c2a4f94d90/ke4cl.7z.html TakeFile https://takefile.link/zd7drmulkn1b/ke4cl.7z.html Fileaxa https://fileaxa.com/9w4eyq9yt450/ke4cl.7z Fikper https://fikper.com/7IcHOLoTPp/ke4cl.7z.html

Building a Five-Star Relationship with Your Horse: Using the Five Domains of Animal Welfare English | 2025 | ISBN: 1032488743 | 150 Pages | PDF EPUB (True) | 24 MB The Five Domains of Animal Welfare, when applied to horses, can act as a safe, reliable source of advice and information for conscientious owners, and also a benchmark by which the practices of the more experienced can be measured, scrutinised and held to account. They provide standards to be met rather than levels to be tolerated. Download Links RapidGator https://rg.to/file/361636d327afa811e59a7b8e00ec7a08/xrvl3.7z.html TakeFile https://takefile.link/s52c8digcwxj/xrvl3.7z.html Fileaxa https://fileaxa.com/36s3t0mb7nxg/xrvl3.7z Fikper https://fikper.com/DRBtykqozQ/xrvl3.7z.html

Michael Dormandy, "Building a Book of Books: Textual Characteristics of the Early Greek Majuscule Pandects " English | ISBN: 3110994577 | 2024 | 392 pages | EPUB, PDF | 5 MB + 3 MB This book analyses how the early Greek whole-Bible manuscripts (pandects) change and preserve the text. Dormandy refutes the method based on singular readings and so investigates all the ways in which each pandect differs from the initial text, both changes introduced by its own scribe and by the scribes of earlier manuscripts. He surveys sample chapters in John, Romans, Revelation, Sirach and Judges (including discussing the "new finds" of Sinaiticus). Dormandy's observations of Codex Ephraemi challenge accepted transcriptions. Dormandy argues that Sinaiticus and Vaticanus may plausibly have been made in response to commissions by Constantine and Constans. Dormandy concludes that generally, across all the Biblical books considered, the pandects preserve the initial text well. Transcriptional and linguistic variations are more common than harmonisations or changes of content. The more precise profiles of each manuscript vary between Biblical books. The pandects thus create bibliographic unity from textual diversity. This shows their significance in the history of the Christian Bible: they reflect in bibliographic form the hermeneutical move to consider all the books of the Christian Bible as one corpus. Read more Download Links RapidGator https://rg.to/file/b24f55117f805d245e1b8d429d8ddfe6/m61bx.7z.html TakeFile https://takefile.link/9pqvydkeyx52/m61bx.7z.html Fileaxa https://fileaxa.com/44d8eml5ovvw/m61bx.7z Fikper https://fikper.com/BbNbYi6w9G/m61bx.7z.html

Build a WordPress Website From Scratch 2025: Step-by-step, How to Use WordPress Appearance and Themes Hosting, WooCommerce, SEO, and more English | 2024 | ASIN : B0DPXXVKFH | 260 Pages | MOBI | 5 MB The difference of this book is that it does not require any prior knowledge in web programming, because WordPress allows anyone to create their own website without the need to know how to program. WordPress offers simplified methods to create complete websites with management done through a control panel. The book explains step by step how to use these features and how to customize the site according to the preferences of the reader. With no code (but if you want some code, the sky is the limit.) Download Links RapidGator https://rg.to/file/dfbc59b7649abeb8824e3e46cf9e8998/id80v.7z.html TakeFile https://takefile.link/gsztxzq7wcs7/id80v.7z.html Fileaxa https://fileaxa.com/50xzr38riw8z/id80v.7z Fikper https://fikper.com/61yweqszNI/id80v.7z.html

Build a Large Language Model (From Scratch) by Sebastian Raschka English | October 29, 2024 | ISBN: 1633437167 | 368 pages | PDF | 33 Mb Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks. Build a Large Language Model (from Scratch) teaches you how to: * Plan and code all the parts of an LLM * Prepare a dataset suitable for LLM training * Fine-tune LLMs for text classification and with your own data * Use human feedback to ensure your LLM follows instructions * Load pretrained weights into an LLM Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Physicist Richard P. Feynman reportedly said, "I don't understand anything I can't build." Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning. About the book Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself! What's inside * Plan and code an LLM comparable to GPT-2 * Load pretrained weights * Construct a complete training pipeline * Fine-tune your LLM for text classification * Develop LLMs that follow human instructions About the reader Readers need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs. About the author Sebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software. The technical editor on this book was David Caswell. Table of Contents 1 Understanding large language models 2 Working with text data 3 Coding attention mechanisms 4 Implementing a GPT model from scratch to generate text 5 Pretraining on unlabeled data 6 Fine-tuning for classification 7 Fine-tuning to follow instructions A Introduction to PyTorch B References and further reading C Exercise solutions D Adding bells and whistles to the training loop E Parameter-efficient fine-tuning with LoRA Download Links RapidGator https://rg.to/file/45cb6c6bf38a21fc40e4d2e640095de2/dkj5i.7z.html TakeFile https://takefile.link/c90sxmq4966n/dkj5i.7z.html Fileaxa https://fileaxa.com/627nt8hl7wtx/dkj5i.7z Fikper https://fikper.com/CuKj9CJISa/dkj5i.7z.html

Build a Large Language Model (From Scratch) by Sebastian Raschka English | October 29, 2024 | ISBN: 1633437167 | 368 pages | PDF | 66 Mb Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks. Build a Large Language Model (from Scratch) teaches you how to: * Plan and code all the parts of an LLM * Prepare a dataset suitable for LLM training * Fine-tune LLMs for text classification and with your own data * Use human feedback to ensure your LLM follows instructions * Load pretrained weights into an LLM Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Physicist Richard P. Feynman reportedly said, "I don't understand anything I can't build." Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning. About the book Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself! What's inside * Plan and code an LLM comparable to GPT-2 * Load pretrained weights * Construct a complete training pipeline * Fine-tune your LLM for text classification * Develop LLMs that follow human instructions About the reader Readers need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs. About the author Sebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software. The technical editor on this book was David Caswell. Table of Contents 1 Understanding large language models 2 Working with text data 3 Coding attention mechanisms 4 Implementing a GPT model from scratch to generate text 5 Pretraining on unlabeled data 6 Fine-tuning for classification 7 Fine-tuning to follow instructions A Introduction to PyTorch B References and further reading C Exercise solutions D Adding bells and whistles to the training loop E Parameter-efficient fine-tuning with LoRA Download Links RapidGator https://rg.to/file/55ae6bce13c39cc8716f7eaebd26c4e8/107kk.7z.html TakeFile https://takefile.link/1hlncr3haa04/107kk.7z.html Fileaxa https://fileaxa.com/4kk9q2doff9n/107kk.7z Fikper https://fikper.com/6JHF8atWJz/107kk.7z.html

Build a Large Language Model (From Scratch) by Sebastian Raschka English | October 29, 2024 | ISBN: 1633437167 | 368 pages | EPUB | 13 Mb Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks. Build a Large Language Model (from Scratch) teaches you how to: * Plan and code all the parts of an LLM * Prepare a dataset suitable for LLM training * Fine-tune LLMs for text classification and with your own data * Use human feedback to ensure your LLM follows instructions * Load pretrained weights into an LLM Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Physicist Richard P. Feynman reportedly said, "I don't understand anything I can't build." Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning. About the book Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself! What's inside * Plan and code an LLM comparable to GPT-2 * Load pretrained weights * Construct a complete training pipeline * Fine-tune your LLM for text classification * Develop LLMs that follow human instructions About the reader Readers need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs. About the author Sebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software. The technical editor on this book was David Caswell. Table of Contents 1 Understanding large language models 2 Working with text data 3 Coding attention mechanisms 4 Implementing a GPT model from scratch to generate text 5 Pretraining on unlabeled data 6 Fine-tuning for classification 7 Fine-tuning to follow instructions A Introduction to PyTorch B References and further reading C Exercise solutions D Adding bells and whistles to the training loop E Parameter-efficient fine-tuning with LoRA Download Links RapidGator https://rg.to/file/117275b050e0281b2b4cee827af6aa06/7eivk.7z.html TakeFile https://takefile.link/dw9xftgyud3y/7eivk.7z.html Fileaxa https://fileaxa.com/mt3yse2vgxa9/7eivk.7z Fikper https://fikper.com/o5b9c5i43S/7eivk.7z.html

Build a Large Language Model (From Scratch) by Sebastian Raschka English | October 29, 2024 | ISBN: 1633437167 | 368 pages | MOBI | 13 Mb Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks. Build a Large Language Model (from Scratch) teaches you how to: * Plan and code all the parts of an LLM * Prepare a dataset suitable for LLM training * Fine-tune LLMs for text classification and with your own data * Use human feedback to ensure your LLM follows instructions * Load pretrained weights into an LLM Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Physicist Richard P. Feynman reportedly said, "I don't understand anything I can't build." Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning. About the book Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself! What's inside * Plan and code an LLM comparable to GPT-2 * Load pretrained weights * Construct a complete training pipeline * Fine-tune your LLM for text classification * Develop LLMs that follow human instructions About the reader Readers need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs. About the author Sebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software. The technical editor on this book was David Caswell. Table of Contents 1 Understanding large language models 2 Working with text data 3 Coding attention mechanisms 4 Implementing a GPT model from scratch to generate text 5 Pretraining on unlabeled data 6 Fine-tuning for classification 7 Fine-tuning to follow instructions A Introduction to PyTorch B References and further reading C Exercise solutions D Adding bells and whistles to the training loop E Parameter-efficient fine-tuning with LoRA Download Links RapidGator https://rg.to/file/07a27e8e07a5a03048c8616cba26752b/759wb.7z.html TakeFile https://takefile.link/zsd5r7mor7gx/759wb.7z.html Fileaxa https://fileaxa.com/385xojr6wlwp/759wb.7z Fikper https://fikper.com/H2Sq9k2Rp2/759wb.7z.html

Build a Large Language Model (From Scratch) by Sebastian Raschka English | October 29, 2024 | ISBN: 1633437167 | 368 pages | PDF | 6.53 Mb Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks. Build a Large Language Model (from Scratch) teaches you how to: * Plan and code all the parts of an LLM * Prepare a dataset suitable for LLM training * Fine-tune LLMs for text classification and with your own data * Use human feedback to ensure your LLM follows instructions * Load pretrained weights into an LLM Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Physicist Richard P. Feynman reportedly said, "I don't understand anything I can't build." Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning. About the book Build a Large Language Model (From Scratch) is a practical and eminently-satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you'll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you'll really understand it because you built it yourself! What's inside * Plan and code an LLM comparable to GPT-2 * Load pretrained weights * Construct a complete training pipeline * Fine-tune your LLM for text classification * Develop LLMs that follow human instructions About the reader Readers need intermediate Python skills and some knowledge of machine learning. The LLM you create will run on any modern laptop and can optionally utilize GPUs. About the author Sebastian Raschka is a Staff Research Engineer at Lightning AI, where he works on LLM research and develops open-source software. The technical editor on this book was David Caswell. Table of Contents 1 Understanding large language models 2 Working with text data 3 Coding attention mechanisms 4 Implementing a GPT model from scratch to generate text 5 Pretraining on unlabeled data 6 Fine-tuning for classification 7 Fine-tuning to follow instructions A Introduction to PyTorch B References and further reading C Exercise solutions D Adding bells and whistles to the training loop E Parameter-efficient fine-tuning with LoRA Download Links RapidGator https://rg.to/file/ce1533e537f9924e9941fb1710e28624/lsey4.7z.html TakeFile https://takefile.link/f5a124kc78ju/lsey4.7z.html Fileaxa https://fileaxa.com/t16ysf7s9yn0/lsey4.7z Fikper https://fikper.com/txB7goEDlf/lsey4.7z.html

Talk To Me In Korean, "Build & Extend Your Korean Sentences: A Comprehensive Guide to Understanding Korean Sentence Structures and Writing Longer Sentences for Beginners and Intermediate Learners, with Writing and Grammar Exercises, Vocabulary Lists, and Speaking Practices" English | 2021 | ASIN: B098KK9JWX | PDF | pages: 276 | 6.2 mb Get a better understanding of Korean sentence structures, and write more flexible and progressively longer Korean sentences with confidence! Book contents: - 30 commonly used Korean sentence structures for beginners and intermediate learners, which get progressively longer and more complex throughout the book - Verb conjugation practice, extension practice, and speaking practice for each sentence structure - Korean Language Basics for previewing grammar points that are used in the book - Key vocabulary lists - Free MP3 audio files, recorded by native speakers (can be downloaded from the TTMIK official website or mobile app) Download Links RapidGator https://rg.to/file/1155766146a5bb47f5bc2106b20426e6/curo9.7z.html TakeFile https://takefile.link/05r8akcah4w4/curo9.7z.html Fileaxa https://fileaxa.com/v8hf0i8xn7he/curo9.7z Fikper https://fikper.com/4PhwMUCXmw/curo9.7z.html