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Explore the mathematical foundations essential for designing and deploying intelligent agentic systems in this technical conference talk from MLOps World. Discover how mathematical principles drive smarter model selection, architecture decisions, and production-ready agent design beyond the typical LLM discussions. Learn to use mathematical intuition for anticipating model weaknesses before production deployment and understand what "reasoning" truly means in practical AI applications. Examine a comprehensive case study of a poker coaching agent that demonstrates hybrid system design, combining LLM reasoning capabilities with statistical performance models to leverage each component's strengths. Master the principles of modular reasoning architecture and develop a rigorous benchmarking approach based on statistical hypothesis testing for reliable model comparison and evaluation.
