Christopher Lovejoy

This talk outlines a playbook for building domain-native LLM applications, emphasizing that the system surrounding the model is more critical than the model's sophistication itself. The core challenge, termed the "last mile problem," involves providing LLMs with specific contextual understanding of industry workflows. By developing an adaptive domain intelligence engine, companies can leverage domain experts to translate industry insights into performance improvements, enabling continuous iteration and refinement of AI applications.