This tutorial takes you from basic LLM prompting to building sophisticated reasoning agents. Each lesson builds on the previous, with theory, code, and exercises.

This tutorial demonstrates how to build AI reasoning systems that intelligently route requests to appropriate reasoning strategies, saving 40-60% on costs while maintaining quality. Learn when ...

In this tutorial, we dive deep into how we systematically benchmark agentic components by evaluating multiple reasoning strategies across diverse tasks. We explore how different architectures, such as ...