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Book Overview & Buying
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Table Of Contents
Building Business-Ready Generative AI Systems
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A business-ready GenAISys offers functionality on par with ChatGPT-like platforms. It brings together generative AI models, agentic features, RAG, memory retention, and a range of ML and non-AI functions—all coordinated by an AI controller. Unlike traditional pipelines, the controller doesn’t follow a fixed sequence of steps. Instead, it orchestrates tasks dynamically, adapting to the context.
A GenAISys typically runs on a model such as GPT-4o—or whichever model best fits your use case. But as we’ve seen, just having access to an API isn’t enough. Contextual awareness and memory retention are essential. While ChatGPT-like tools offer these features by default, we have to build them ourselves when creating custom systems.
We explored four types of memory: memoryless, short-term, long-term, and cross-topic. We also distinguished semantic memory (facts) from episodic memory (personal, time-stamped information). Context awareness depends heavily on memory—but context windows have limits. Even if we increase the window size, models can still miss the nuance in complex tasks. That’s where advanced RAG comes in—breaking down content into smaller chunks, embedding them, and storing them in vector stores such as Pinecone. This expands what the system can “remember” and use for reasoning.
We also saw that no matter how advanced GenAISys becomes, it can’t function without human expertise. From design to deployment, maintenance, and iteration, people remain critical throughout the system’s life cycle. We then outlined three real-world implementation models based on available resources and goals: hybrid systems that leverage existing AI platforms, small-scale systems for targeted business needs, and full-scale systems built for ChatGPT-grade performance.
Finally, we got hands-on—building a series of memory simulation modules in Python using GPT-4o. These examples laid the groundwork for what comes next: the AI controller that will manage memory, context, and orchestration across your GenAISys. We are now ready to build a GenAISys AI controller!