WorkshopOnline

Closing the Continuous Learning Loop: From Agent Traces to Agent Training

SEP21
09:00 · Asia / Kolkata

About this event

Zoom link: us02web.zoom.us/j/82308186562

Talk #0: Introductions and Meetup Updates
by Chris Fregly and Antje Barth

Talk #1: Closing the Continuous Learning Loop: From Agent Traces to Agent Training
by Rustem Feyzkhanov, Engineering Manager @ Snorkel.ai
Production traces show where agents fail, but how do we turn those failures into learning? This talk explores a practical loop from traces to reproducible simulations, verifiable rewards, and model improvement through fine-tuning or reinforcement learning. We’ll also look at when it’s better to change prompts, tools, or the agent harness instead of updating model weights.

Zoom link: us02web.zoom.us/j/82308186562

Related Links
Github Repo: github.com/cfregly/ai-performance-engineering/
O'Reilly Book: amazon.com/Systems-Performance-Engineering-Optimizing-Algorithms/dp/B0F47689K8/
YouTube: youtube.com/@AIPerformanceEngineering
Generative AI Free Course on DeepLearning.ai: bit.ly/gllm

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