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Taschenbuch. Zustand: Neu. Neuware - 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 fitBook 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 breachesWho 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.Table of Contents Defining a Business-Ready Generative AI System Building the Generative AI Controller Integrating Dynamic RAG into the GenAISys Building the AI Controller Orchestration Interface Adding Multimodal, Multifunctional Reasoning with Chain of Thought Reasoning E-Marketing AI Agents Enhancing the GenAISys with DeepSeek GenAISys for Trajectory Simulation and Prediction Upgrading the GenAISys with Data Security and Moderation for Customer Service Presenting Your Business-Ready Generative AI System.

Taschenbuch. Zustand: Neu. Neuware - Master AWS architecture and design secure, scalable, production-ready cloud systems. This practical guide features real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best practices.Key Features: Stay current with hands-on coverage of MLOps, AIOps, and the latest AWS service updates Implement migration strategies with real-world examples and enterprise case studies Advance your AWS career with certification-aligned insights and exam-ready strategiesBook Description:AWS for Solutions Architects, Third Edition is your essential guide to thriving in the fast-evolving AWS ecosystem. As a solutions architect, staying on top of the latest technologies and managing complex cloud migrations can be challenging, and this book addresses those pain points head-on. Seasoned AWS experts Saurabh Shrivastava, Neelanjali Srivastav, and Dhiraj Thakur bring deep industry insight and hands-on experience to every chapter.This third edition introduces cutting-edge topics, including Generative AI and MLOps, to keep pace with the evolving cloud landscape and guide you in building AI-driven applications. The book also reflects updates from the AWS Well-Architected Framework and aligns with the latest AWS certifications, making it a future-ready guide for cloud professionals. The chapters help you stay ahead of the competition with in-depth coverage of the latest AWS certifications, including AI Practitioner Foundation and Data Engineer Associate, helping you position yourself as a leader in cloud innovation.By the end of this book, you'll transform into a solutions architecture expert, equipped with the strategies, tools, and certifications needed to handle any cloud challenge.What You Will Learn: Gain expertise in GenAI, MLOps, AIOps, and mobile edge computing Optimize performance and handle errors in cloud-native applications Prepare for new AWS certifications, including those focused on AI and data engineering Apply best practices for security, compliance, and AWS Learning Badges Explore the updated Well-Architected Framework with six pillars Get in-depth knowledge of new storage options and security group configurationsWho this book is for:This book is for application and enterprise architects, developers, operations engineers, and certification aspirants looking to master AWS architectural patterns, best practices, and advanced techniques for building scalable, secure, highly available, fault-tolerant, and cost-effective cloud solutions. Prior coding knowledge isn't required, but experience in software architecture design will be helpful.Table of Contents Understanding AWS Cloud Principles and Key Characteristics Understanding the AWS Well-Architected Framework and Getting Certified Leveraging the Cloud for Enterprise Transformation Networking in AWS Storage in AWS: Choosing the Right Tool for the Job Harnessing the Power of Cloud Computing Selecting the Right Database Service Best Practices for Application Security, Identity, and Compliance Driving Efficiency with Cloud Operation Automation and DevOps in AWS Data Engineering and Big Data Analytics in AWS Machine Learning and Generative AI in AWS Data Lake Patterns: Integrating Your Data Across the Enterprise Building Microservices and Event-Driven Architecture in AWS Hands-On Guide to Building an App in AWS.