Unlocking the Power of Auto-GPT and Its Plugins. Implement, customize, and optimize Auto-GPT for building robust AI applications

Wladislav Cugunov

Unlocking the Power of Auto-GPT and Its Plugins reveals how Auto-GPT is transforming the way we work and live, by breaking down complex goals into manageable subtasks and intelligently utilizing the internet and other tools. With a background as a self-taught full stack developer and key contributor to Auto-GPT’s Inner Team, the author blends unconventional thinking with practical expertise to make Auto-GPT and its plugins accessible to developers at all levels.This book explores the potential of Auto-GPT and its associated plugins through practical applications. Beginning with an introduction to Auto-GPT, it guides you through setup, utilization, and the art of prompt generation. You'll gain a deep understanding of the various plugin types and how to create them. The book also offers expert guidance on developing AI applications such as chat assistants, research aides, and speech companions, while covering advanced topics such as Docker configuration, continuous mode operation, and integrating your own LLM with Auto-GPT.By the end of this book, you'll be equipped with the knowledge and skills needed for AI application development, plugin creation, setup procedures, and advanced Auto-GPT features to fuel your AI journey.

Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet

Andrés P. Torres, Paul Newman

Explore the capabilities of the open-source deep learning framework MXNet to train and deploy neural network models and implement state-of-the-art (SOTA) architectures in Computer Vision, natural language processing, and more. The Deep Learning with MXNet Cookbook is your gateway to constructing fast and scalable deep learning solutions using Apache MXNet.Starting with the different versions of MXNet, this book helps you choose the optimal version for your use and install your library. You’ll work with MXNet/Gluon libraries to solve classification and regression problems and gain insights into their inner workings. Venturing further, you’ll use MXNet to analyze toy datasets in the areas of numerical regression, data classification, picture classification, and text classification. From building and training deep-learning neural network architectures from scratch to delving into advanced concepts such as transfer learning, this book covers it all. You'll master the construction and deployment of neural network architectures, including CNN, RNN, LSTMs, and Transformers, and integrate these models into your applications.By the end of this deep learning book, you’ll wield the MXNet and Gluon libraries to expertly create and train deep learning networks using GPUs and deploy them in different environments.

Real-World Web Development with .NET 9. Build websites and services using mature and proven ASP.NET Core MVC, Web API, and Umbraco CMS

Mark J. Price

Real-World Web Development with .NET 9 equips you to build professional websites and services using proven technologies like ASP.NET Core MVC, Web API, and OData—trusted by organizations for delivering robust web applications.You’ll learn to design and build efficient web applications with ASP.NET Core MVC, creating well-structured, maintainable code that follows industry best practices. From there, you’ll focus on Web API, building RESTful services that are both secure and scalable. Along the way, you’ll also explore testing, authentication, and containerization for deployment, ensuring that your solutions are fully production ready.In the final part of the book, you will be introduced to Umbraco CMS, a popular content management system for .NET. By mastering this tool, you’ll learn how to empower users to manage website content independently.By the end of this book, you'll not only have a solid grasp of controller-based development but also the practical know-how to build dynamic, content-driven websites using a popular .NET CMS.

CCSP (ISC)2 Certified Cloud Security Professional Exam Guide. Build your knowledge to pass the CCSP exam with expert guidance

Omar A. Turner, Navya Lakshmana

Preparing for the Certified Cloud Security Professional (CCSP) exam can be challenging, as it covers a wide array of topics essential for advancing a cybersecurity professional’s career by validating their technical skills. To prepare for the CCSP exam, you need a resource that not only covers all the exam objectives but also helps you prepare for the format and structure of the exam.Written by two seasoned cybersecurity professionals with a collective experience of hundreds of hours training CCSP bootcamps, this CCSP study guide reflects the journey you’d undertake in such training sessions.The chapters are packed with up-to-date information necessary to pass the (ISC)2 CCSP exam. Additionally, to boost your confidence, the book provides self-assessment questions, exam tips, and mock exams with detailed answer explanations. You’ll be able to deepen your understanding using illustrative explanations that briefly review key points.As you progress, you’ll delve into advanced technical aspects of cloud domain security, such as application security, design, managing and securing data, and infrastructure in the cloud using best practices and legal policies and procedures.By the end of this guide, you’ll be ready to breeze through the exam and tackle real-world cloud security challenges with ease.

ASP.NET Core 9 Essentials. Master Razor Pages, Blazor, and MVC to build powerful, cloud-ready web applications

Albert S. Tanure

Build cutting-edge web applications using ASP.NET Core 9 with this comprehensive guide from Microsoft MVP Albert Tanure, a seasoned .NET expert with over 20 years of experience as a cloud solutions architect. Albert brings unparalleled expertise in building modern web applications to ASP.NET Core 9 Essentials to help you kickstart your journey on the right foot.Starting with the platform’s fundamental concepts, you’ll work through practical exercises to develop web applications with powerful UI frameworks, deliver flexible and scalable solutions through an API approach, and explore advanced topics such as customizing request flows and implementing robust security measures. You’ll get to grips with cloud-native practices to prepare your applications for cloud environments. Whether you’re a beginner or an experienced developer, this book is your guide to building modern, secure, and adaptable web applications with ASP.NET Core.By the end, you'll have the skills to create professional web applications that are scalable, resilient, and secure.

The Power Platform Playbook for Digital Transformation. Implement strategy, automation, and AI for scalable digital transformation

Victor Dantas, Chris Huntingford

Written by Victor Dantas, a five-time Microsoft MVP, and Chris Huntingford, MVP, Microsoft Certified Trainer, and FastTrack Recognized Solution Architect, this book distills the collective wisdom of two global thought leaders at the forefront of technological innovation. The Power Platform Playbook for Digital Transformation is your guide to strategizing, implementing, and scaling digital transformation using Power Apps, Power Automate, Power BI, Power Pages, and Copilot Studio. It equips you with tools to streamline operations, enhance decision-making, and scale automation without deep coding expertise.Unlike technical manuals that focus only on implementation, this book takes a holistic approach, combining strategy and execution. You’ll learn how to build enterprise-grade applications, automate repetitive tasks, and integrate Power Platform with Microsoft 365, Dynamics 365, and third-party services. Real-world case studies, best practices, and step-by-step guidance equip you to implement governance, security, and compliance while ensuring long-term success.Whether you’re a business leader driving transformation, an IT professional managing enterprise automation, or a business analyst optimizing processes, this book provides a clear roadmap to leveraging Power Platform for scalable, AI-enhanced digital innovation.

Kubernetes Anti-Patterns. Overcome common pitfalls to achieve optimal deployments and a flawless Kubernetes ecosystem

Govardhana Miriyala Kannaiah

As the popularity of Kubernetes continues to grow, it’s essential to understand and navigate the potential challenges of scalability, resource optimization, troubleshooting, and security. Kubernetes Anti-Patterns offers vital insights and strategies tailored to the current needs of practitioners and enthusiasts navigating the complexities of Kubernetes. Penned by an AWS-certified solutions architect with 16+ years of experience, this book will teach you the essential Kubernetes anti-patterns, their types, causes, and consequences. You’ll find practical solutions for each of the challenges and uncover real-world examples and case studies to enhance your Kubernetes expertise. Beyond technical details, you’ll delve into optimization, proactive assessment, and prevention strategies, ensuring your Kubernetes endeavors are marked by success and efficiency. Experienced or beginner, this book will equip you with the right knowledge to deploy and maintain a robust Kubernetes environment. By the end of this book, you’ll gain a holistic understanding of Kubernetes anti-patterns and develop the expertise to identify and address issues in various Kubernetes contexts. This knowledge will enable you to optimize your container orchestration environments and ensure the reliability, scalability, and security of your applications.

Azure OpenAI Essentials. A practical guide to unlocking generative AI-powered innovation with Azure OpenAI

Amit Mukherjee, Adithya Saladi, Marco Casalaina

Find out what makes Azure OpenAI a robust platform for building AI-driven solutions that can transform how businesses operate. Written by seasoned experts from Microsoft, this book will guide you in understanding Azure OpenAI from fundamentals through to advanced concepts and best practices.The book begins with an introduction to large language models (LLMs) and the Azure OpenAI Service, detailing how to access, use, and optimize its models. You'll learn how to design and implement AI-driven solutions, such as question-answering systems, contact center analytics, and GPT-powered search applications. Additionally, the chapters walk you through advanced concepts, including embeddings, fine-tuning models, prompt engineering, and building custom AI applications using LangChain and Semantic Kernel. You'll explore real-world use cases such as QnA systems, document summarizers, and SQLGPT for database querying, as well as gain insights into securing and operationalizing these solutions in enterprises.By the end of this book, you'll be ready to design, develop, and deploy scalable AI solutions, ensuring business success through intelligent automation and data-driven insights.