Inference is the New Training Loop: Architecting High-Reliability Agents and Continuous AI Systems
Official Schedule Context
- Date/time: 2026-06-30 · 3:20pm-3:40pm
- Track/room: Posttraining & Midtraining · Leadership 2
- Speaker(s): David Corbitt
- Session type/status: session · confirmed
Official Description
For agentic AI and complex, multi-step workloads, the inference environment is the engine for
continuous improvement, not a final deployment step. This talk focuses on engineering the full AI
loop: tightly integrating inference with reinforcement learning (RL) and evaluation. Learn how to
leverage native observability, serverless RL, and optimized inference stacks to continuously refine
model behavior based on production traces, delivering agents that are reliable, auditable, and
constantly evolving.
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