Building Businessready Generative Ai Systems Build Humancentered Generative Ai Systems With Agents Memory And Llms For Enterprise 1st Edition Denis Rothman by Denis Rothman 9781837020690, 1837020698 instant download after payment.

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.
 
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
 
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.
 
Who this book is for
This book is for AI and Machine Learning Engineers seeking to enhance their understanding of Generative AI and its…