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The AI Model Isn’t Your Advantage, The Knowledge Behind It Is

The subsequent passage is a guest piece authored by Brian Kenah, who serves as the Chief Technology Officer at EnableComp. The capacity of models is increasing rapidly, and the technology to develop AI agents has become mostly standardized. The most powerful models can be obtained by any healthcare organization or supplier with a simple license.

This has led many technical leaders to believe that success involves embracing the most superior models. It is effective until the assertions become complex. When a skilled model is directed at inaccurate information, it provides a response that is logically valid but strongly incorrect.

The model is lacking a component that requires years to develop. The most difficult aspect is acquiring knowledge. The process of deploying an agent using current tools may require several days or weeks.

However, the knowledge it reasons against, on a state-by-state and payer-by-payer basis, takes a whole career to accumulate.

 

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