Pipeline Conversations
MLOps and LLMOps, from the trenches
Displaying 2 items of Pipeline Conversations with the tag "aws".
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Monitoring Your Way to ML Production Nirvana with Danny Leybzon
December 16th, 2021 | 40 mins 34 secs
aws, machine-learning, mlops, zenml
This week, we spoke with Danny Leybzon, currently working with WhyLabs to help data scientists monitor their models in production and prevent model performance from degrading. He previously worked as a kind of roving data scientist and engineer, helping companies put their models into production.
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Practical MLOps with Noah Gift
December 2nd, 2021 | 47 mins 14 secs
aws, machine-learning, mlops
Noah Gift is the founder of Pragmatic A.I. Labs and author of 'Practical MLOps'. We discuss the role of MLOps in an organisation, some deployment war stories from his career as well as what he considers to be 'best practices' in production machine learning.