9781837020690 - Building Business-Ready Generative AI Systems: Build Human-Centered AI Systems with Context Engineering, Agents, Memory, and LLMs for Enterprise de Denis Rothman (19 resultados)

Paperback or Softback. Condición: New. Building Business-Ready Generative AI Systems: Build Human-Centered Generative AI Systems with Agents, Memory, and LLMs for Enterprise. Book.

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Paperback. Condición: New. Build business-ready generative AI systems with context-aware controllers, agents, dynamic RAG, and multimodal reasoning-capable of integrating new models and connecting to live data sources with minimal security risk.

Paperback. Condición: New. Build business-ready generative AI systems with context-aware controllers, agents, dynamic RAG, and multimodal reasoning-capable of integrating new models and connecting to live data sources with minimal security risk.

Paperback. Condición: New. Build business-ready generative AI systems with context-aware controllers, agents, dynamic RAG, and multimodal reasoning-capable of integrating new models and connecting to live data sources with minimal security risk.

Paperback. Condición: New. Build business-ready generative AI systems with context-aware controllers, agents, dynamic RAG, and multimodal reasoning-capable of integrating new models and connecting to live data sources with minimal security risk.

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Paperback. Condición: new. Paperback. 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 FeaturesBuild an adaptive, context-aware AI controller with advanced memory strategiesEnhance GenAISys with multi-domain, multimodal reasoning capabilities and Chain of Thought (CoT)Seamlessly integrate cutting-edge OpenAI and DeepSeek models as you see fitBook DescriptionStandalone LLMs no longer deliver sufficient business value on their own. This guide moves beyond basic chatbots, showing you how to build agentic, ChatGPT-grade systems capable of sophisticated semantic and sentiment analysis, powered by context engineering.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 system with Pinecone to combine instruction-driven scenarios. Through context engineering, youll minimize token usage, maximize response quality, and create systems that reason across complex tasks with precision. You'll enhance your systems intelligence with multimodal capabilitiesimage generation, voice interactions, and machine-driven reasoningleveraging Chain-of-Thought and context chaining to address cross-domain automation challenges. You'll also integrate OpenAIs suite and DeepSeek-R1 without disrupting your existing GenAISys ecosystem.With context engineering as the backbone, every step becomes a deliberate act of shaping model behavior. Your GenAISys will apply neuroscience-inspired insights to marketing strategies, predict human mobility, integrate smoothly into human workflows, and connect to live external data, all wrapped in a polished, investor-ready interface.What you will learnImplement an AI controller with a conversation AI agent and orchestrator at its coreBuild contextual awareness with short-term, long-term, and cross-session memoryDesign cross-domain automation with multimodal reasoning, image generation, and voice featuresExpand a CoT agent by integrating consumer-memory understandingIntegrate cutting-edge models of your choice without disrupting your existing GenAISysConnect to real-time external data while blocking security breachesWho this book is forThis 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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:Standalone LLMs no longer deliver sufficient business value on their own. This guide moves beyond basic chatbots, showing you how to build agentic, ChatGPT-grade systems capable of sophisticated semantic and sentiment analysis, powered by context engineering.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 system with Pinecone to combine instruction-driven scenarios. Through context engineering, you'll minimize token usage, maximize response quality, and create systems that reason across complex tasks with precision. You'll enhance your system's intelligence with multimodal capabilities-image generation, voice interactions, and machine-driven reasoning-leveraging Chain-of-Thought and context chaining to address cross-domain automation challenges. You'll also integrate OpenAI's suite and DeepSeek-R1 without disrupting your existing GenAISys ecosystem.With context engineering as the backbone, every step becomes a deliberate act of shaping model behavior. Your GenAISys will apply neuroscience-inspired insights to marketing strategies, predict human mobility, integrate smoothly into human workflows, and connect to live external data, all wrapped in a polished, investor-ready interface.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. Condición: Neu. Building Business-Ready Generative AI Systems | Build Human-Centered AI Systems with Context Engineering, Agents, Memory, and LLMs for Enterprise | Denis Rothman | Taschenbuch | Englisch | 2025 | Packt Publishing | EAN 9781837020690 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.