In this episode, we dive into the shifting competitive landscape of Large Language Models (LLMs) and explore why businesses are moving from model-centric strategies to building value at the application layer. Drawing insights from the latest research and a deep-dive case study of Palantir Technologies, we’ll uncover how reduced training costs, open-source projects, and widespread APIs have turned LLMs into near-commodities. Listeners will learn how solution-driven applications, domain-specific customization, and robust integration services can propel organizations to new heights of profitability and efficiency. From banking fraud detection to manufacturing optimization and government intelligence, we’ll highlight real-world use cases that showcase the power of focusing on AI-driven applications. Join us for a conversation on harnessing LLMs to craft transformative, long-term value—well beyond just bigger models or cutting-edge tech.