How to Build Your Own Model Router

Building Cost-Effective LLM Routers: Boost Accuracy 25% While Cutting Costs 90% | This session reveals how to build intelligent model routers that dynamically direct inputs to the optimal large language model (LLM) for each specific task. Attendees will learn practical implementation strategies for multi-model LLM systems that significantly improve performance metrics—achieving up to 25% higher accuracy while reducing operational costs by as much as 90%. The presentation covers essential routing methodologies, evaluation frameworks, and scalable architectures for production deployments. Developers and ML engineers will gain actionable insights for overcoming technical challenges in multi-model LLM systems, optimizing both performance and cost-efficiency in generative AI applications. Perfect for teams looking to maximize ROI from their AI infrastructure while maintaining high-quality outputs.