LLMs are still limited compared to highly customized models designed for specific use cases and datasets. There is still value in having skilled ML researchers and engineers who can build specialized models optimized for particular business needs. LLMs can be a powerful tool to enable faster iteration, but may not be a full replacement for custom modeling in many production environments. Factors like model accuracy, latency, explainability, and regulatory requirements may necessitate customized modeling.