Why it matters
AI Engineer session on How to Train Your Agent: Building Reliable Agents with RL, presented by Kyle Corbitt, OpenPipe. It adds practical context for how teams are building and operating AI systems in production.
My takeaway: Useful for model evaluation because it ties capability claims to benchmarks, training decisions, or deployment tradeoffs instead of relying on surface-level demos.