About this talk
This talk delves into the evolving landscape of AI applications, focusing on orchestration strategies that enhance system reliability and capability. The speaker examines three key approaches: mixture-of-experts architectures, multi-agent collaboration, and workflow or graph-based execution models featuring persistent state management. By using practical examples, the session highlights how these strategies manage various patterns including routing, planner-critic loops, and shared memory. Attendees will leave with a practical framework to assess which orchestration model aligns best with their production AI workloads, facilitating better architectural decisions for scalable AI systems.
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