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Jason Lopatecki

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titleconferencedate
From Signal to PR: Anatomy of a Self-Improving AgentObserve 20262026-06-04
Arize shows that the actual unlock is traces on a filesystem pulled as files into the repo (sometimes ten megabytes), letting an agent produce a real fix —…
Talk on
Advanced Evaluation Techniques for AI AgentsRay Summit 20242024-09-30
Claims a practical evaluation stack for LLM agents: a simple LM router -> skill -> router architecture (90% of deployments), function calling as the core…
Talk on
Model innovation & evaluation with model partners Q&AMicrosoft Build 20242024-05-21
Discussion recommends using LMs to judge other LMs and insists on production-grade observability to collect traces and evaluations. RAG is decomposed into…
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