Stop hand-picking an LLM per request: a practical case for auto-routing

In essence, the article highlights the inefficiencies of manually selecting a single, often the most powerful, language model (LLM) to handle all requests, regardless of their complexity. This approach leads to overpaying for simple tasks and suboptimal performance for complex ones. By automatically routing requests based on their difficulty, organizations can optimize costs and performance, ensuring simpler tasks don't incur the expense of high-end models while complex tasks get the appropriate level of processing power. This strategy promises more efficient use of LLMs and better overall outcomes.