GPT

Raw GPT models have no knowledge of a company's specific business, products, or policies. Developers must build complex Retrieval-Augmented Generation (RAG) systems to dynamically fetch and feed the right information from help centers, tickets, and documentation in real-time, requiring significant ongoing maintenance.

Large transformer models like GPT-4 require significant computational resources and memory, presenting a limiting factor for smaller organizations and developers without access to high-performance hardware.