Technical Talks

How to Build Your Own Model Router
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ABOUT THE TALK
- Lightning Talks
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.

Co-Founder & CEO
Tomás Kofman
Not Diamond
Tomás is the founder and CEO of Not Diamond, a multi-model AI infrastructure platform that helps AI/ML teams seamlessly assess, onboard, and optimize new AI models through cross-model prompt adaptation and intelligent model routing. Instead of waterfalling development inefficiently through one model at a time, Not Diamond helps Fortune 500s and leading startups save tens of thousands of engineering hours and improve output accuracy by up to 35% by optimizing all candidate models and parameter configurations in parallel. Tomás previously co-founded a housing startup which he worked on for four years through three rounds of funding, and before that he built a digital civic tech platform that was featured on the cover of TIME magazine. He studied math at Brown university and design at RISD.
Discover the data foundations powering today's AI breakthroughs. Join leading minds as we explore both cutting-edge AI and the infrastructure behind it. Reserve your spot at before tickets sell out!