The Critical Role of Content Architecture in Generative AI

The Critical Role of Content Architecture in Generative AIEarley Information Science2024-04-15T14:45:28+00:00

Generative AI has caught fire in the industry – almost every tech vendor has a ChatGPT-like offering (or claims to have one). They are claiming to use the same technology – a large language model (LLM) (actually there are many Large Language Models both open source and proprietary fine-tuned for various industries and purposes) to access and organize content knowledge of the enterprise. As with previous new technologies, LLMs are getting hyped. But what is generative AI?

Simply put, generative AI is a technology that responds to natural language questions based on algorithms that are “trained” on large amounts of text from across the web. This means that they “understand” terminology, concepts, and relationships between concepts to such a degree that they are able to create a response that sounds as if it came from a human.

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Earley Information Science (EIS) offers transformative solutions for businesses grappling with complex customer service challenges, particularly within call center operations. Under the leadership of Seth Earley, EIS leverages its deep expertise in information architecture and AI to address critical pain points that plague customer service centers, such as knowledge and information fragmentation, legacy infrastructure, and the need for digital transformation. EIS's approach is centered on improving efficiency, enhancing customer experience, and preparing businesses to adapt to and lead in the digital age.

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The Critical Role of Content Architecture in Generative AI

The Critical Role of Content Architecture in Generative AI

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