· Evaluating the trade-offs between large language models (LLMs) and smaller, domain-specific models based on cost, latency, and accuracy requirements.

· Selecting the right model architecture for the specific task from generative text applications to real-time sensor analytics to optimize performance and value.

· Balancing the flexibility of general-purpose LLMs with the precision and efficiency of smaller models to meet the stringent demands of operational environments.