Building Business-Ready Generative AI Systems

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.

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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.