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Patrick Deziel

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Putting the data science back into LLM evaluationPyData Global 20242024-12-03
Argues for reproducible, metric-driven LLM validation and demonstrates an open-source Django web app that compares models prompt-by-prompt, logs generation…
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Reconceptualizing Machine Learning for the Real-time WorldPyData Global 20232023-12-06
Claim: 87% of data science projects never reach production, so the talk demonstrates moving from batch to continuous learning with concrete tools. Uses River…
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How To Build a Distributed System (And Should You?)KubeCon + CloudNativeCon North America 20222022-10-24
A geo-distributed global directory service is built and deployed to clusters in the US, Germany, and Singapore using gRPC, Kubernetes, LevelDB and Prometheus…
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PyTesting the Limits of Machine LearningPyCon US 20212021-05-14
Shows concrete techniques: use scikit‑learn Estimator/Transformer, pipelines and FeatureUnion to reduce test surface; fix random_state to make runs repeatable…
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