Collection Download Ebooks Best Seller Updated Daily

[booksz]

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.

[b]Uploady[/b]
https://uploady.io/ovxgmb5mx3xi/39o9u.7z
Rapidgator
https://rg.to/file/616445b0190601a06f83278a9352e152/39o9u.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/9iqpqbsrjbmr/39o9u.7z.html
Fikper
https://fikper.com/RSNeDGgeEt/39o9u.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

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.

[b]Uploady[/b]
https://uploady.io/1kolf77384hz/ie1h5.7z
Rapidgator
https://rg.to/file/d285f962650d4f3986b0137069e442d0/ie1h5.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/x8gabxutbnm8/ie1h5.7z.html
Fikper
https://fikper.com/D3xRnf3BWt/ie1h5.7z.html
[b]FreeDL[/b]
https://frdl.io/2pitth4g1hqi/ie1h5.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

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

[b]Uploady[/b]
https://uploady.io/33g5949caxlm/q7rhr.7z
Rapidgator
https://rg.to/file/0326ae957f2873aeb3cad4b1023475b7/q7rhr.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/ulwf097g2yyx/q7rhr.7z.html
Fikper
https://fikper.com/pkJpOv3pYG/q7rhr.7z.html
[b]FreeDL[/b]
https://frdl.io/4zvad0d3du3g/q7rhr.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

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.

https://www.oreilly.com/videos/build-a-powerful/10000MNHV2022115/

[b]Uploady[/b]
https://uploady.io/13sprk99kwii/45bs5.7z
Rapidgator
https://rg.to/file/b03fcea1730c4291352c6ccd9887d8c2/45bs5.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/myxsk772v854/45bs5.7z.html
Fikper
https://fikper.com/H4wfLQPHsE/45bs5.7z.html
[b]FreeDL[/b]
https://frdl.io/x2kfjj78w1pq/45bs5.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

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.

[b]Uploady[/b]
https://uploady.io/65gtel7u21qb/fn7ct.7z
Rapidgator
https://rg.to/file/0dc3db00273f2d12b1cc617b2bc8fd27/fn7ct.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/pq1q1tzokqe9/fn7ct.7z.html
Fikper
https://fikper.com/GZC9nIpFYQ/fn7ct.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

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.

[b]Uploady[/b]
https://uploady.io/e48qsiuna8y8/2ejre.7z
Rapidgator
https://rg.to/file/cbca8b20793edc6174fbbe937970da64/2ejre.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/2fu46clcp3vg/2ejre.7z.html
Fikper
https://fikper.com/ve1vV5X8n8/2ejre.7z.html
[b]FreeDL[/b]
https://frdl.io/0athz5rcd76y/2ejre.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

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.

[b]Uploady[/b]
https://uploady.io/wxs6pdmysfml/0llcu.7z
Rapidgator
https://rg.to/file/0f23e132741c785b36f31c2c5ba536c2/0llcu.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/j7dlq1zv5gex/0llcu.7z.html
Fikper
https://fikper.com/mR4KBkkVId/0llcu.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

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.

[b]Uploady[/b]
https://uploady.io/bbtgtlh8uv7y/di921.7z
Rapidgator
https://rg.to/file/00dbe27f58b6eed23f9cd2c32a0b34f3/di921.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/4j30vm8dtz7m/di921.7z.html
Fikper
https://fikper.com/KBEv4CAvhE/di921.7z.html
[b]FreeDL[/b]
https://frdl.io/m5wqtfrcuqct/di921.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

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.

[b]Uploady[/b]
https://uploady.io/qi6d761u4d83/9p6yc.7z
Rapidgator
https://rg.to/file/ee82756bb7bc3f73703df1a95c093c35/9p6yc.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/1r769lxrhfui/9p6yc.7z.html
Fikper
https://fikper.com/YrSYVJtF1M/9p6yc.7z.html
[b]FreeDL[/b]
https://frdl.io/q4wjrd05ndt0/9p6yc.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

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.

[b]Uploady[/b]
https://uploady.io/33hlyapk1phe/nhnk8.7z
Rapidgator
https://rg.to/file/25d695bbb650e68f670efd221ec994de/nhnk8.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/0vba8xx94mmj/nhnk8.7z.html
Fikper
https://fikper.com/3ofkTBalZm/nhnk8.7z.html
[b]FreeDL[/b]
https://frdl.io/nlvwxg4b7882/nhnk8.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

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.

[b]Uploady[/b]
https://uploady.io/vpmy6bez8z32/ncej5.7z
Rapidgator
https://rg.to/file/fa422e7682c8859923a31ee55d9db41f/ncej5.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/vmtuz0q0fwnw/ncej5.7z.html
Fikper
https://fikper.com/GvJrId9EHp/ncej5.7z.html
[b]FreeDL[/b]
https://frdl.io/okfc3mkp1suc/ncej5.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Building Applications with AI Agents (Early Release)
English | 2024 | ISBN: 9781098176495 | 300 pages | EPUB | 1.68 Mb
Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. While these applications enhance efficiency, they often require extensive planning, drafting, and revising to complete complex tasks. By combining many of these actions, AI agents offer greater autonomy and efficiency, but understanding and deploying them remains a challenge for many organizations, especially as technology and research rapidly develops.

This book is your indispensable guide through this intricate and fast-moving landscape. Author Michael Albada provides a practical and research-based approach to designing and implementing single- and multi-agent systems. It simplifies the complexities and equips you with the tools to move from concept to solution efficiently. By the end, you'll
Understand the distinct features of foundation model-enabled AI agents
Discover the core components and design principles of AI agents
Explore design trade-offs and implement effective multi-agent systems
Design and deploy tailored AI solutions, enhancing efficiency and innovation in your field

[b]Uploady[/b]
https://uploady.io/81m3yfzvsr8y/egt7t.7z
Rapidgator
https://rg.to/file/7bcf9440d3c3aee91e8d6e0a31dc56aa/egt7t.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/dfsmd7p36b8d/egt7t.7z.html
Fikper
https://fikper.com/m0OaRUVHii/egt7t.7z.html
[b]FreeDL[/b]
https://frdl.io/wr68258smqpt/egt7t.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Building Business-Ready Generative AI Systems: Build Human-Centered Generative AI Systems with Agents, Memory, and LLMs for Enterprise by Denis Rothman
English | July 25th, 2025 | ISBN: 1837020698 | 444 pages | True EPUB (Retail Copy) | 22.23 MB
Supercharge your business with context-aware AI controllers, adaptive agents, multimodal reasoning functionality, neuroscientific memory systems, and flexible handler mechanisms that integrate the emerging generative AI models. Get with your book: PDF copy, AI Assistant, and Next-Gen Reader free.

Key Features
* Build an adaptive, context-aware AI controller with advanced memory strategies
* Enhance GenAISys with multi-domain, multimodal reasoning capabilities and Chain of Thought (CoT)
* Seamlessly integrate cutting-edge OpenAI and DeepSeek models as you see fit
Book Description
In today's rapidly evolving AI landscape, standalone LLMs no longer deliver sufficient business value on their own. This guide moves beyond basic chatbots, showing you how to build advanced, agentic ChatGPT-grade systems capable of sophisticated semantic and sentiment analysis, powered by context-aware AI controllers.
You'll design AI controller architectures with multi-user memory retention to dynamically adapt your system to diverse user and system inputs. You'll architect a Retrieval-Augmented Generation (RAG) system with Pinecone, designed to combine instruction-driven scenarios. Enhance your system's intelligence with powerful multimodal capabilities-including image generation, voice interactions, and machine-driven reasoning-leveraging Chain-of-Thought orchestration to address complex, cross-domain automation challenges. Seamlessly integrate generative models like OpenAI's suite and DeepSeek-R1 without disrupting your existing GenAISys ecosystem. Your GenAISys will apply neuroscience-inspired insights to marketing strategies, predict human mobility, integrate smoothly into human workflows, visualize complex scenarios, and connect to live external data, all wrapped in a polished, investor-ready interface.
By the end, you'll have built a GenAISys capable of deploying intelligent agents in your business environment.
What you will learn
* Implement an AI controller with a conversation AI agent and orchestrator at its core
* Build contextual awareness with short-term, long-term, and cross-session memory
* Design cross-domain automation with multimodal reasoning, image generation, and voice features
* Expand a CoT agent by integrating consumer-memory understanding
* Integrate cutting-edge models of your choice without disrupting your existing GenAISys
* Connect to real-time external data while blocking security breaches
Who this book is for
This book is for AI and Machine Learning Engineers seeking to enhance their understanding of Generative AI and its enterprise applications. It will particularly benefit those interested in building AI agents, creating advanced orchestration systems, and leveraging AI for automation in marketing, production, and logistics. Software architects and enterprise developers looking to build scalable AI-driven systems will also find immense value in this guide. No prior superintelligence experience is necessary, but familiarity with AI concepts is recommended.

[b]Uploady[/b]
https://uploady.io/xlgrq5x8ssid/mb0f6.7z
Rapidgator
https://rg.to/file/23f0755b94bfc855a1d24bd5a939b929/mb0f6.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/li7rgk8q03p4/mb0f6.7z.html
Fikper
https://fikper.com/v286bymww7/mb0f6.7z.html
[b]FreeDL[/b]
https://frdl.io/hpxt05zxia9n/mb0f6.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Building Business-Ready Generative AI Systems
English | 2025 | ISBN: 1837020698 | 444 pages | True PDF | 10.65 MB
Supercharge your business with context-aware AI controllers, adaptive agents, multimodal reasoning functionality, neuroscientific memory systems, and flexible handler mechanisms that integrate the emerging generative AI models. Get with your book: PDF copy, AI Assistant, and Next-Gen Reader free.

Key Features
* Build an adaptive, context-aware AI controller with advanced memory strategies
* Enhance GenAISys with multi-domain, multimodal reasoning capabilities and Chain of Thought (CoT)
* Seamlessly integrate cutting-edge OpenAI and DeepSeek models as you see fit
Book Description
In today's rapidly evolving AI landscape, standalone LLMs no longer deliver sufficient business value on their own. This guide moves beyond basic chatbots, showing you how to build advanced, agentic ChatGPT-grade systems capable of sophisticated semantic and sentiment analysis, powered by context-aware AI controllers.
You'll design AI controller architectures with multi-user memory retention to dynamically adapt your system to diverse user and system inputs. You'll architect a Retrieval-Augmented Generation (RAG) system with Pinecone, designed to combine instruction-driven scenarios. Enhance your system's intelligence with powerful multimodal capabilities-including image generation, voice interactions, and machine-driven reasoning-leveraging Chain-of-Thought orchestration to address complex, cross-domain automation challenges. Seamlessly integrate generative models like OpenAI's suite and DeepSeek-R1 without disrupting your existing GenAISys ecosystem. Your GenAISys will apply neuroscience-inspired insights to marketing strategies, predict human mobility, integrate smoothly into human workflows, visualize complex scenarios, and connect to live external data, all wrapped in a polished, investor-ready interface.
By the end, you'll have built a GenAISys capable of deploying intelligent agents in your business environment.
What you will learn
* Implement an AI controller with a conversation AI agent and orchestrator at its core
* Build contextual awareness with short-term, long-term, and cross-session memory
* Design cross-domain automation with multimodal reasoning, image generation, and voice features
* Expand a CoT agent by integrating consumer-memory understanding
* Integrate cutting-edge models of your choice without disrupting your existing GenAISys
* Connect to real-time external data while blocking security breaches
Who this book is for
This book is for AI and Machine Learning Engineers seeking to enhance their understanding of Generative AI and its enterprise applications. It will particularly benefit those interested in building AI agents, creating advanced orchestration systems, and leveraging AI for automation in marketing, production, and logistics. Software architects and enterprise developers looking to build scalable AI-driven systems will also find immense value in this guide. No prior superintelligence experience is necessary, but familiarity with AI concepts is recommended.

[b]Uploady[/b]
https://uploady.io/iwqu278t9387/02s78.7z
Rapidgator
https://rg.to/file/5da3f9fb831f6e7f7ac4080bb3db2d2b/02s78.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/5jav07zht9wl/02s78.7z.html
Fikper
https://fikper.com/DyHjDcOzUt/02s78.7z.html
[b]FreeDL[/b]
https://frdl.io/ozifxl7ogphi/02s78.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Building Business-Ready Generative AI Systems: Build Human-Centered Generative AI Systems with Agents, Memory, and LLMs for Enterprise
English | 2025 | ISBN: 1837020698 | 555 pages | True EPUB | 25.2 MB
Supercharge your business with context-aware AI controllers, adaptive agents, multimodal reasoning functionality, neuroscientific memory systems, and flexible handler mechanisms that integrate the emerging generative AI models.

Get with your book: PDF copy, AI Assistant, and Next-Gen Reader free.
Key Features
Build an adaptive, context-aware AI controller with advanced memory strategies
Enhance GenAISys with multi-domain, multimodal reasoning capabilities and Chain of Thought (CoT)
Seamlessly integrate cutting-edge OpenAI and DeepSeek models as you see fit
Book Description
In today's rapidly evolving AI landscape, standalone LLMs no longer deliver sufficient business value on their own. This guide moves beyond basic chatbots, showing you how to build advanced, agentic ChatGPT-grade systems capable of sophisticated semantic and sentiment analysis, powered by context-aware AI controllers.
You'll design AI controller architectures with multi-user memory retention to dynamically adapt your system to diverse user and system inputs. You'll architect a Retrieval-Augmented Generation (RAG) system with Pinecone, designed to combine instruction-driven scenarios. Enhance your system's intelligence with powerful multimodal capabilities-including image generation, voice interactions, and machine-driven reasoning-leveraging Chain-of-Thought orchestration to address complex, cross-domain automation challenges. Seamlessly integrate generative models like OpenAI's suite and DeepSeek-R1 without disrupting your existing GenAISys ecosystem.
Your GenAISys will apply neuroscience-inspired insights to marketing strategies, predict human mobility, integrate smoothly into human workflows, visualize complex scenarios, and connect to live external data, all wrapped in a polished, investor-ready interface. By the end, you'll have built a GenAISys capable of deploying intelligent agents in your business environment.
What you will learn
Implement an AI controller with a conversation AI agent and orchestrator at its core
Build contextual awareness with short-term, long-term, and cross-session memory
Design cross-domain automation with multimodal reasoning, image generation, and voice features
Expand a CoT agent by integrating consumer-memory understanding
Integrate cutting-edge models of your choice without disrupting your existing GenAISys
Connect to real-time external data while blocking security breaches
Who this book is for
This book is for AI and Machine Learning Engineers seeking to enhance their understanding of Generative AI and its enterprise applications. It will particularly benefit those interested in building AI agents, creating advanced orchestration systems, and leveraging AI for automation in marketing, production, and logistics. Software architects and enterprise developers looking to build scalable AI-driven systems will also find immense value in this guide. No prior superintelligence experience is necessary, but familiarity with AI concepts is recommended.

[b]Uploady[/b]
https://uploady.io/h9ht484y5sfb/vjkmj.7z
Rapidgator
https://rg.to/file/c1501f4239b53bda0ffbf6b31a9f20ae/vjkmj.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/rcy9ab0xjenf/vjkmj.7z.html
Fikper
https://fikper.com/8KR0L51gQG/vjkmj.7z.html
[b]FreeDL[/b]
https://frdl.io/33josdtl6gup/vjkmj.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Building CLI Applications with C# and .NET: A step-by-step guide to developing cross-platform CLI apps-from coding and testing to deployment by Tidjani Belmansour, Damian Brady
English | February 17, 2025 | ISBN: 1835882757 | 300 pages | EPUB | 13 Mb
Unlock the potential of .NET to design, test, and deploy robust CLI applications, including development, security, and monitoring

Key FeaturesReceive expert guidance on building CLI applications with .NETImplement advanced techniques for creating cross-platform, modular, and robust CLI applicationsPut your knowledge into practice through hands-on exercises and real-world projectsBook Description
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.
Written by a Microsoft Azure MVP, the book's hands-on approach ensures practical experience with real-world projects. You'll start with an overview of foundational principles, essential concepts, and best practices for CLI application development. From there, you'll advance to creating interactive interfaces, integrating with external APIs and services, and implementing security measures to safeguard your applications. Each chapter will build progressively from basic to advanced topics.
Beyond development, you'll learn how to enhance application quality through testing, package for efficient distribution, and deploy effectively. The book also teaches strategies to optimize performance to ensure your applications run efficiently under heavy usage.
By the end of this book, you'll have gained a deep understanding of CLI application development with .NET to build modular, extensible, and easy-to-maintain applications.
What you will learnMaster CLI application development principles to enhance productivityBuild modular and extensible CLI applications that adapt to evolving needsDevelop interactive CLI applications for engaging user experiencesIntegrate external APIs and services to extend functionalityImplement robust security measures to ensure data protectionImprove quality and reliability through comprehensive testingPackage and deploy CLI applications efficiently for smooth releasesOptimize performance to achieve high efficiency and effectivenessWho this book is for
This book is for software developers, architects, and DevOps engineers aiming to enhance their existing SaaS platforms or optimize system operations. It focuses on providing users with CLI applications that automate and streamline workflows, unlocking operational efficiency. A basic understanding of programming concepts and prior experience with .NET and C# is expected, as this book doesn't cover introductory material.
Table of ContentsIntroduction to CLI ApplicationsSetting Up the Development EnvironmentBasic Concepts of Console Applications in .NETCommand-Line ParsingInput/Output and File HandlingError Handling and LoggingInteractive CLI ApplicationsBuilding Modular and Extensible CLI ApplicationsWorking with External APIs and ServicesTesting CLI ApplicationsPackaging and DeploymentPerformance Optimization and TuningSecurity Considerations for CLI ApplicationsAdditional Resources and Libraries

[b]Uploady[/b]
https://uploady.io/dozghk82n9qf/zqb0g.7z
Rapidgator
https://rg.to/file/46e592fbc4e614b0be7b3e6300b9836c/zqb0g.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/jq9lllxcqezb/zqb0g.7z.html
Fikper
https://fikper.com/Oik9ZedDii/zqb0g.7z.html
[b]FreeDL[/b]
https://frdl.io/nmz4amtp0f3l/zqb0g.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Building Cloud Software Products: Innovation, Technology, and Product Management
English | 2025 | ISBN: 9783031921841 | 222 pages | True PDF,EPUB | 19.94 MB
Cloud-native approaches have become essential in IT and OT product development. Cloud-native is more than using the newest cutting-edge services from hyperscalers. Building cloud products benefits from a holistic approach beyond focusing on an isolated cloud paradigm. This book addresses the different aspects of designing, building, and running cloud software products and services from a holistic perspective. It investigates how to empower cloud product and service teams to consider the relevant aspects for long-term success. It provides an overview of selected technologies and practical adoptions and explores various requirements to maintain economic and environmental sustainability. It examines the challenges faced by product management teams of cloud providers, independent software vendors (ISVs), and system integrators (SIs) and offers potential solutions. The chapters also showcase internal success stories and case studies of various companies during the lifecycle of a cloud product.

Offering a combination of advanced research from academia and practical industry lessons learned, this book empowers cloud product and service teams to consider and adopt various ideas, concepts, and methods to provide successful, high-quality cloud products and services.

[b]Uploady[/b]
https://uploady.io/fuvlzad96uzf/n6dez.7z
Rapidgator
https://rg.to/file/2ff5cfbbf1fe2f701f8575b04c892e51/n6dez.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/ro8fx8nq78zg/n6dez.7z.html
Fikper
https://fikper.com/MdmXFubDHq/n6dez.7z.html
[b]FreeDL[/b]
https://frdl.io/un4l67i8aj5m/n6dez.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Building Event-Driven Microservices, 2nd Edition (Early Release)
English | 2025 | ISBN: 9798341622180 | 114 pages | MOBI | 4.55 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.

[b]Uploady[/b]
https://uploady.io/91febbi8uf0k/czjgt.7z
Rapidgator
https://rg.to/file/ff3e8a0642fc1eb7ef1b386890382079/czjgt.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/kfx6jmrgzcgc/czjgt.7z.html
Fikper
https://fikper.com/8JB6oqyWaq/czjgt.7z.html
[b]FreeDL[/b]
https://frdl.io/beeh510pnmlp/czjgt.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Building modern web applications using PHP by Alex Bugeja
English | October 24, 2024 | ISBN: N/A | ASIN: B0DKY5VKZ3 | 618 pages | EPUB | 0.86 Mb
Unleash the Power of Modern PHP: Build Dynamic Web Applications with Confidence!

This comprehensive guide takes you from PHP novice to full-stack developer, empowering you to build robust, scalable, and secure web applications using the latest PHP techniques and the popular Laravel framework.
Inside, you'll discoverHP Fundamentals: Master the essential building blocks, from syntax and data structures to control structures and functions.Object-Oriented Programming: Elevate your code with classes, objects, inheritance, and other OOP concepts for building modular and reusable applications.Database Mastery with Eloquent: Effortlessly interact with databases using Laravel's elegant Eloquent ORM, simplifying data retrieval, insertion, updating, and managing complex relationships.Crafting Engaging User Interfaces: Create dynamic and interactive views using Laravel's Blade templating engine, leveraging its power and flexibility.API Development: Dive into the world of APIs, learning to build and consume RESTful APIs using PHP and the principles of HTTP.Secure Your Applications: Implement robust authentication and authorization mechanisms, protect against common web vulnerabilities, and enforce security best practices.Testing for Quality and Reliability: Master the art of testing with PHPUnit, exploring unit, integration, and functional tests to ensure code quality and prevent regressions.Deploy and Host with Confidence: Learn about various hosting options, step-by-step deployment procedures, and server configuration essentials.Packed with practical examples, real-world scenarios, and clear explanations, this book is your ultimate companion for:Aspiring PHP developers seeking a structured and comprehensive introduction to the language and its modern applications.Experienced developers looking to expand their knowledge, master the Laravel framework, and build sophisticated web applications.Anyone passionate about web development eager to unlock the full potential of PHP in building dynamic, secure, and user-friendly applications.Start building the next generation of web applications with PHP today!

[b]Uploady[/b]
https://uploady.io/seduxu46bv7q/edjjf.7z
Rapidgator
https://rg.to/file/55d9246da039a17fc65227dc170049f5/edjjf.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/bijkn80ahb7q/edjjf.7z.html
Fikper
https://fikper.com/luGOR0yh7a/edjjf.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Building Modern Web Applications with the MERN Stack: An Introduction for Beginners by Alex Bugeja
English | October 24, 2024 | ISBN: N/A | ASIN: B0DKY5272V | 463 pages | EPUB | 1.35 Mb
Master Modern Web Development: Build Dynamic Apps with the MERN Stack

Unlock the power of full-stack JavaScript development with this comprehensive guide to the MERN stack.
This book takes you from beginner to confident MERN developer, teaching you to build dynamic and interactive web applications from the ground up.
Inside, you'll discover:A clear and concise explanation of each MERN technology: MongoDB, Express.js, React.js, and Node.js, with practical examples and real-world applications.Step-by-step guidance on setting up your development environment: Learn to install the necessary tools, configure your system, and initialize your project.Mastering backend development: Build a robust RESTful API with Express.js, connect to a MongoDB database with Mongoose, and implement user authentication and authorization with Passport.js.Craft stunning user interfaces: Dive into React.js, learning about JSX, components, props, state, events, forms, and client-side routing with React Router.Connect your frontend and backend: Seamlessly integrate your React frontend with your Express.js backend to create a fully functional web application.Deploy your application with confidence: Explore deployment options, including cloud platforms, and master the steps to launch your application to the world.Build a robust testing strategy: Learn about unit testing, integration testing, and end-to-end testing, mastering techniques to ensure code quality and prevent regressions.Best practices and real-world examples: Throughout the book, you'll find best practices, coding examples, and insightful tips to enhance your development skills.Whether you're a complete beginner or an experienced developer looking to expand your skillset, this book is your definitive guide to mastering the MERN stack and building amazing web applications.

[b]Uploady[/b]
https://uploady.io/bak813lb0nls/gbbnv.7z
Rapidgator
https://rg.to/file/3a026f9fde628d214e21a7e4c93e6fdf/gbbnv.7z.html
[b]UploadCloud[/b]
https://www.uploadcloud.pro/ocp27s723wbg/gbbnv.7z.html
Fikper
https://fikper.com/mUWLKB3y19/gbbnv.7z.html
[b]FreeDL[/b]
https://frdl.io/32hz4cmh5mkc/gbbnv.7z.html

Links are Interchangeable - Single Extraction