• Regeln für den Dokumente-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Allgemeines:

    Nicht erlaubt im Dokumente-Bereich sind:

    - indizierte Titel (inkl. Comics)
    - extremistische Werke, Zeitschriften und Comics (egal, welche Richtung)
    - jegliche Art von Pornographie
    - Anleitungen zu kriminellen Handlungen, gleich welcher Art
    - sadistische, menschenverachtende oder ähnliche Werke

    Nutzt den "Bedanken"-Button, bei Sammelthreads führen jegliche Kommentare, positiv wie negativ, sehr schnell zu einer Unübersichtlichkeit des Threads. Downmeldungen sind an den Uploader zu richten

    Vor dem Einstellen zu beachten:

    - Suchfunktion

    Vergewissert euch, dass es euer Dokument noch nicht im Board gibt, Doppelposts werden kommentarlos gelöscht. Ist es schon vorhanden, tragt es als Mirror im bestehenden Post ein.

    - Threadtitel

    Idealerweise ist sofort zu erkennen um was es sich handelt. Verseht euren Titel mit den relevanten Informationen, das hilft euch und damit auch uns und allen Suchenden erheblich weiter.

    Beispiel: [Thriller] Dan Brown - Inferno oder bei Magazinen:

    Computerbild - 14/2014 (es muss ersichtlich sein, um welche Ausgabe und welches Magazin es sich handelt)

    Folgende Präfixe stehen im Unterforum "Unterhaltung" zur Verfügung:

    [Humor]
    [Drama]
    [Erotik]
    [Fantasy]
    [Krimi]
    [Roman]
    [Thriller]
    [Horror]
    [Science Fiction]

    Inhalt des Beitrags:

    Folgende Pflichtangaben gilt es einzuhalten:

    - Autor
    - Titel
    - Präfix
    - Cover
    - Genre
    - Inhaltsbeschreibung
    - enthaltene Formate
    - Gesamtgröße des Downloads
    - Hoster
    - ggf. Passwort

    Nicht erlaubt sind alle Dateien, die den Download unnötig aufblähen um eine Affiliategrenze zu erreichen, wie zB. mp3-files, übergroße Bilder, etc.

    Ebenso nicht erlaubt sind sämtliche Dateien mit DRM, persönlichen Daten, etc., diese werden kommentarlos zu eurem eigenem Schutz gelöscht.

    Achtet bitte bei der Konvertierung der Formate auf die Lesbarkeit, ein epub, was nur einfach durch Calibre gejagt wird um ein PDF zu erhalten, ist zu 99% eben nicht lesbar. Wenn ihr es nicht könnt, dann lasst es besser oder lest euch ein, wie man es richtig macht.


    Unterforum Comics:

    Threadtitel:

    Ähnlich, wie bei Unterhaltung und Magazinen, sollte der Titel alle relevanten Informationen enthalten, hier bitte

    - den Titel des Comics
    - den Verlag (einige Comics sind in verschiedenen Verlagen erschienen)
    - das Erscheinungsjahr

    Erlaubt sind folgende Formate:

    - CBR
    - CBZ

    Grundsätzlich gilt: jede Version eines Comics erhält einen eigenen Thread, Ersteller eines Comics können ihre Bände gerne mit dem Zusatz (Original-Release) versehen.

    Bei Unsicherheiten zur korrekten Benennung bitte die Informationen von www.comicguide.de nutzen.

    Inhalt des Beitrags:

    Pflichtangaben hier sind:

    - Titel des Bandes und ggf. Nummer
    - Cover
    - falls bekannt technische Daten (DPI, Breite, Speicherqualität)
    - Größe des Downloads
    - Hoster
    - ggf. Passwort
    - falls bekannt Releasenamen
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.

++ Premium IPTV ++ 7000 Live Sender ++ UHD Qualität ++ Mediathek mit 18.000 Inhalten ++


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Collection Download Ebooks Best Seller Updated Daily

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Broken Envelopes: Inside the Fraudulent World of Mail Order Opportunity Scams by Gary Covella
English | February 6, 2025 | ISBN: N/A | ASIN: B0DWDPZ6Y3 | 392 pages | EPUB | 1.33 Mb
Step Beyond the Envelope and Unlock Extraordinary Wealth

Have you ever wondered how a small, unassuming piece of mail could spark fortunes beyond imagination? How everyday hopefuls turned unremarkable letters into lavish lifestyles, and how certain entrepreneurs rode the waves of public desire-sometimes skating dangerously close to the edge of legality? In these pages, you'll dive headfirst into the history, drama, and backstage machinations of the most infamous and profitable mail-based schemes ever devised.
Discover the Daring Tactics Behind Massive Mail Order Gains
Far from the humdrum image of envelopes piling up on the kitchen counter, the stories you'll encounter reveal how postcards, catalogs, and bulletins offered up miraculous opportunities-at least on the surface. From audacious "work-from-home" promises that lured tens of thousands, to glossy promotions that promised utopian lifestyles, these tales showcase human ingenuity for better or worse. Part marketing brilliance, part psychological manipulation, the most successful mail order campaigns exploited a timeless combination of aspiration and social proof. Through each wild twist, you'll witness how cunning copywriters pushed emotional buttons, how multi-step funnels reeled in unsuspecting buyers, and how certain "insiders" walked away with fortunes rivaling the biggest corporate moguls.
Meet the Players Who Shaped (and Shook) an Industry
While some soared through skillful strategy, others took shortcuts that derailed lives and reputations. Here, you'll follow the meteoric rise of key figures-those who saw mailers not just as paper but as golden tickets to unlimited profits. You'll also see how regulators chased after them, sometimes too late to stop widespread hype and hysteria. This journey isn't just about scandal; it's about ambition, risk-taking, and the eternal tug-of-war between questionable tactics and genuine entrepreneurship.
Gain Insights for Your Own Entrepreneurial Path
While each tale brims with intrigue, they also carry valuable lessons for readers looking to carve out a piece of legitimate success. By studying both the triumphs and missteps of mail-order pioneers, you'll gather ideas you can adapt ethically for your own endeavors. Imagine applying psychologically proven sales techniques and narrative hooks in a transparent way that fosters trust rather than exploitation. If you're an ambitious soul hungry for proven persuasion methods, these chapters offer a wealth of inspiration-just remember to tread responsibly.
Witness the Allure and Perils of Quick Money
In a world where a single claim can convince thousands to send money sight unseen, it's no surprise how swiftly large fortunes were amassed. Yet illusions so grand sometimes left consumers disillusioned and financially drained. By peeling back layers of hype and empty promises, you'll see how illusions flourish whenever people crave simple paths to freedom. And in an era where social media and global connectivity spread offers faster than ever, the timeless lessons within these pages stand as vital tools to help you avoid pitfalls-and possibly seize genuine opportunities without succumbing to deceit.
So whether you're an entrepreneur seeking a competitive edge, a curious reader fascinated by the extremes of human ingenuity, or a cautious skeptic wanting to shield yourself from dubious pitches, this in-depth look will captivate and educate you. Each chapter peels back another layer on the extraordinary power of mail order promotions-how they elevated ordinary individuals into overnight stars of direct marketing, and how they sometimes toppled under their own grandiose claims. Step inside, and discover just how far creativity, ambition, and a willingness to push ethical boundaries can take someone when the entire world is just an envelope away.




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BROWNVASE NCLEX HIGH-YIELD REVIEW by Aria Solenne
English | March 15, 2025 | ISBN: N/A | ASIN: B0F1M23X2J | 110 pages | EPUB | 0.47 Mb
This book provides a structured, high-yield approach to preparing for the NCLEX-RN and NCLEX-PN exams. Designed to help nursing students efficiently review essential concepts, NCLEX High-Yield Review presents information in a clear, concise, and organized format to facilitate learning and retention.

Key Features:Comprehensive Coverage - Sixteen focused chapters covering all major NCLEX topics, including Pharmacology, Cardiovascular, Respiratory, Mental Health, Obstetrics & Newborn, Pediatrics, and Emergency & Trauma.Critical Thinking & Test Strategies - Detailed explanations on priority setting, delegation, and answering select-all-that-apply (SATA) questions.Structured Learning Approach - Tables, key takeaways, and mnemonics to reinforce essential content.Emergency & Trauma Guidelines - Key protocols for managing shock, burns, cardiac arrest, and airway emergencies.Legal & Ethical Considerations - In-depth review of HIPAA, informed consent, delegation, and professional responsibilities.Developed for efficient review and targeted learning, this book serves as a valuable resource for both last-minute preparation and review study. Whether used independently or as a supplement to other study materials, NCLEX High-Yield Review is designed to support students in their goal of achieving success on the NCLEX and transitioning into professional nursing practice.




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Budgeting Made Simple: Techniques for the Busy Business Owner by Bolutife Oluwadele
English | January 9, 2025 | ISBN: N/A | ASIN: B0DSQ7CT78 | 105 pages | EPUB | 6.91 Mb
Many business owners struggle with budgeting. In fact, it scares many of them. In this simple-to-read book, we have broken down the process in simple language for easy comprehension. Budgeting is an essential tool for running any successful business, and, therefore, should not be neglected by all means.

Read this book and apply all the principles narrated therein, and you will be on your way to running a successful and sustainable business.




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Build a Large Language Model (From Scratch) by Sebastian Raschka
English | October 29, 2024 | ISBN: 1633437167 | 368 pages | EPUB | 1.19 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



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Build a Powerful GraphQL API in a Few Minutes Using AWS AppSync
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 54m | 472 MB
Instructor: Mariano Calandra

How to build GraphQL API quickly with AWS AppSync, Cognito, and DynamoDB.
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Build AI Agents with N8N: Create Autonomous AI Workflows with N8N - No Experience Required by Leandro Calado
English | February 23, 2025 | ISBN: N/A | ASIN: B0DY9VDK5X | 280 pages | EPUB | 0.90 Mb
Build AI Workflows with OpenAI, Notion & Slack - No Code Needed

Looking for a Zapier alternative that lets you automate with OpenAI, Slack, Notion, and Google Sheets - without coding?
This book is the first hands-on guide to building real-world AI automation workflows with n8n, the powerful open-source tool trusted by developers and tech teams around the world.
✅ Inside you'll learn:How to automate tasks with OpenAI and ChatGPT workflowsCreate smart bots that integrate with Slack, Notion, and Google SheetsBuild no-code automation systems for content, email, calendar, finance, and moreOrchestrate multi-step flows using triggers, webhooks, APIs and queues
Already sold in the US, Germany, Brazil, France, and more, this book is helping readers build their first automation systems with real results.
Get started today. Automate smarter. Own your AI tools.




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Building a Smarter Community: GIS for State and Local Government by Christopher Thomas, Keith Mann
English | June 29, 2021 | ISBN: 1589486846 | 120 pages | EPUB | 3.78 Mb
Provide open data,balancedecisions and initiatives,andcreate equitable policies.

Smart communities don't wait for someone to deem them smart; they take action. State and local governments worldwide have taken that first step using geographic information system (GIS) technology. Applying GIS to planning and urban design, public works operations, and racial equity and social justice has helped meet citizens' needs and improve government operations. And with advancements in smart technology, location intelligence for state and local governments is not just for GIS specialists.
More informed, data-driven decisions lead to improved outcomes that can be shared and replicated in other communities, helping citizens and government collaborate for the common good. Building a Smarter Community: GIS for State and Local Government shows how government leaders in cities, counties, and states have applied GIS for improved planning, operations, and civic inclusion.
In this collection of case studies and guidance to get started, learn how GIS:Helped planners visualize affordable housing patterns in Honolulu, HawaiiRadically changed stormwater management practices in Salinas County, CaliforniaImproved easy access to city data, initiatives, and services in Coral Gables, FloridaSupported minority-owned business during the COVID pandemic in San Rafael, CaliforniaWeb apps, GIS hubs and dashboards, and other GIS solutions help state and local governments develop a deeper understanding of the communities they serve within a real-world context. Sections on getting started with GIS provide helpful ideas, strategies, tools, and actions and a collection of online resources to jump-start your use of GIS for state and local government.
Discover how GIS and location intelligence support state and local government decisions and citizen participation inBuilding a Smarter Community.



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Building a Streamlined API in C#: From Design to Deployment: A Practical Guide to Developing Efficient, Scalable, and Secure APIs with C# and .NET by BOSCO-IT CONSULTING
English | March 10, 2025 | ISBN: N/A | ASIN: B0DZYL7M5B | 216 pages | EPUB | 0.18 Mb
Building a Streamlined API in C#: From Design to Deployment

APIs are the foundation of modern software development, enabling seamless communication between applications, services, and platforms. Whether you are building web applications, mobile apps, or cloud-based solutions, an efficient and secure API is essential for success.
Building a Streamlined API in C#: From Design to Deployment is a comprehensive guide that walks you through every aspect of API development using C# and .NET. From the fundamental concepts of API design to advanced implementation strategies, this book provides practical insights and hands-on techniques to help you build scalable, secure, and high-performance APIs.What You Will LearnHow to design a well-structured API with best practices for resource organization and endpoint managementImplementing RESTful APIs using ASP.NET Core, including controllers and minimal APIsPerforming CRUD operations with Entity Framework Core and optimizing database interactionsSecuring APIs with authentication and authorization techniques such as JWT, OAuth2, and API keysEnhancing API performance with caching, asynchronous programming, and request optimizationWriting unit and integration tests to ensure API reliability and stabilityDeploying APIs to cloud platforms such as Azure and AWS using CI/CD automationMonitoring and maintaining APIs for long-term scalability and securityThis book is designed for beginner to intermediate C# developers who want to master API development, backend developers looking to build robust web services, and software engineers seeking best practices for creating high-quality APIs. Technical leads and architects will also find valuable insights into designing scalable API architectures.
Each chapter is structured to provide theoretical knowledge along with hands-on implementation, ensuring that you gain real-world experience as you progress. Whether you are creating APIs for internal business applications, third-party integrations, or large-scale cloud services, this book will equip you with the necessary tools and techniques to build professional-grade APIs.Why This Book?
With the rapid growth of API-driven applications, mastering API development is a critical skill for modern developers. This book combines practical examples, industry best practices, and real-world case studies to help you gain the confidence to design, build, and deploy APIs effectively.
If you are ready to elevate your C# API development skills and create streamlined, efficient, and secure APIs, this book is your essential guide.




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Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents
English | 2025 | ASIN: B0F5BWTS3B | 1283 pages | True EPUB | 47.12 MB
Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously

Key Features
Implement RAG and knowledge graphs for advanced problem-solving
Leverage innovative approaches like LangChain to create real-world intelligent systems
Integrate large language models, graph databases, and tool use for next-gen AI solutions
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
This AI agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Authored by AI specialists with deep expertise in drug discovery and systems optimization, this guide empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up-to-date information retrieval and structured knowledge, you'll create AI agents capable of deeper reasoning and more reliable problem-solving.
Inside, you'll find a practical roadmap from concept to implementation. You'll discover how to connect language models with external data via RAG pipelines for increasing factual accuracy and incorporate knowledge graphs for context-rich reasoning. The chapters will help you build and orchestrate autonomous agents that combine planning, tool use, and knowledge retrieval to achieve complex goals. Concrete Python examples built on popular libraries, along with real-world case studies, reinforce each concept and show you how these techniques come together.
By the end of this book, you'll be well-equipped to build intelligent AI agents that reason, retrieve, and interact dynamically, empowering you to deploy powerful AI solutions across industries.
What you will learn
Learn how LLMs work, their structure, uses, and limits, and design RAG pipelines to link them to external data
Build and query knowledge graphs for structured context and factual grounding
Develop AI agents that plan, reason, and use tools to complete tasks
Integrate LLMs with external APIs and databases to incorporate live data
Apply techniques to minimize hallucinations and ensure accurate outputs
Orchestrate multiple agents to solve complex, multi-step problems
Optimize prompts, memory, and context handling for long-running tasks
Deploy and monitor AI agents in production environments
Who this book is for
If you are a data scientist or researcher who wants to learn how to create and deploy an AI agent to solve limitless tasks, this book is for you. To get the most out of this book, you should have basic knowledge of Python and Gen AI. This book is also excellent for experienced data scientists who want to explore state-of-the-art developments in LLM and LLM-based applications.



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Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents
English | 2025 | ASIN: B0F5BWTS3B | 560 pages | True PDF | 90.76 MB
Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously

Key Features
Implement RAG and knowledge graphs for advanced problem-solving
Leverage innovative approaches like LangChain to create real-world intelligent systems
Integrate large language models, graph databases, and tool use for next-gen AI solutions
Book Description
This AI agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Authored by AI specialists with deep expertise in drug discovery and systems optimization, this guide empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up-to-date information retrieval and structured knowledge, you'll create AI agents capable of deeper reasoning and more reliable problem-solving.
Inside, you'll find a practical roadmap from concept to implementation. You'll discover how to connect language models with external data via RAG pipelines for increasing factual accuracy and incorporate knowledge graphs for context-rich reasoning. The chapters will help you build and orchestrate autonomous agents that combine planning, tool use, and knowledge retrieval to achieve complex goals. Concrete Python examples built on popular libraries, along with real-world case studies, reinforce each concept and show you how these techniques come together.
By the end of this book, you'll be well-equipped to build intelligent AI agents that reason, retrieve, and interact dynamically, empowering you to deploy powerful AI solutions across industries.
What you will learn
Learn how LLMs work, their structure, uses, and limits, and design RAG pipelines to link them to external data
Build and query knowledge graphs for structured context and factual grounding
Develop AI agents that plan, reason, and use tools to complete tasks
Integrate LLMs with external APIs and databases to incorporate live data
Apply techniques to minimize hallucinations and ensure accurate outputs
Orchestrate multiple agents to solve complex, multi-step problems
Optimize prompts, memory, and context handling for long-running tasks
Deploy and monitor AI agents in production environments
Who this book is forIf you are a data scientist or researcher who wants to learn how to create and deploy an AI agent to solve limitless tasks, this book is for you. To get the most out of this book, you should have basic knowledge of Python and Gen AI. This book is also excellent for experienced data scientists who want to explore state-of-the-art developments in LLM and LLM-based applications.



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Building an Autonomous Environment: For Yourself and Your Organization by Jane Frankel
English | April 15, 2025 | ISBN: 163742776X | 238 pages | EPUB | 2.20 Mb
Autonomy is complex. It is independent and dependent. 21st century work requires an autonomous mindset to thrive. Individuals and organizations wishing to thrive will create an environment to enable their autonomy for best decision making. This autonomy includes characteristics of agency, seeing options, and taking control of decisions, all requiring an environment to support them. Valuing and practicing autonomy is essential to thriving in the 21st century.

The only competitive force in the 21st century that is not matchable by competitors is the members of the organization and their commitment to the vision and mindset of the organization. Organizations need environments that support workers' autonomy and commitment to the organization. This book helps individuals and their organizations build environments that will ensure autonomous mindsets and decisions.



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Building and Monetizing AI Agents in the U.S.: A Comprehensive Guide by Leandro Calado
English | March 27, 2025 | ISBN: N/A | ASIN: B0F2SN24CZ | 133 pages | EPUB | 2.42 Mb
Unlock the Power of AI Agents - Build, Deploy, and Monetize in the U.S. Market

Whether you're a developer, startup founder, or freelancer, this comprehensive guide shows you how to design, build, and scale profitable AI agents using open-source tools like LangChain, CrewAI, Semantic Kernel, Hugging Face, and n8n.
Inside this guide, you'll learn:How to choose the right frameworks and architectures for your use caseBest practices for building agents with memory, RAG, tool use, and automationProven monetization models: SaaS, API sales, licensing, and affiliate strategiesReal-world case studies showing agents in marketing, customer support, finance, and healthcareCode examples and implementation tips to help you move from prototype to productWritten for professionals with an intermediate to advanced background in software development or AI, this book is your roadmap to turning intelligent automation into a real business opportunity.
Start building AI agents that deliver real results - and real revenue.




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