I wrote this post because most people are misinterpreting ChatGPT as a complete application. OpenAI is not doing themselves any favors with their marketing, either.
I discuss why GPT-like systems have the failure modes they do and how to mitigate those failure modes to create useful applications.
While GPT-like systems can be complete applications for a narrow set of use-cases, they are better thought of as a core foundational unit within a larger system, like a CPU is only a core foundational unit of an end-user device. This post describes how to build a rudimentary version of such a system.
The system described is a general purpose AI agent that uses a GPT-like system as a sort of "intuitive mode thinking", and layers on more complex modes of thought required of a useful agent.
I discuss why GPT-like systems have the failure modes they do and how to mitigate those failure modes to create useful applications.
While GPT-like systems can be complete applications for a narrow set of use-cases, they are better thought of as a core foundational unit within a larger system, like a CPU is only a core foundational unit of an end-user device. This post describes how to build a rudimentary version of such a system.
The system described is a general purpose AI agent that uses a GPT-like system as a sort of "intuitive mode thinking", and layers on more complex modes of thought required of a useful agent.