MLOPS EVN meetup

ServiceTitan

AGBU Armenia

Agenda: <a href="https://www.linkedin.com/in/lilit-zargaryan-357494133/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Lilit Zargaryan</a> I ML Engineer at ServiceTitan Feature stores: Missing component of the ML platformThe concept of “feature store” has seemingly exploded in recent years. And the natural question that arises in different companies doing ML is “Should our company have a feature store, too?” With an example of our ML team’s journey and our architectural needs we will show you how one can find the answer to that question. We’ll also try to define the criteria for the tools to be called feature stores and give the current state of the feature store market.Gevorg Soghomonyan I Co-founder &amp; CEO at AimHubML Metadata and its impactML metadata is generated at every step of the ML pipeline. In most ML infrastructures the models are built, promoted based on ml metadata exploration results - visually or automated. In this talk we will look into what is the ML metadata, why it is crucial in the ML infra and what are the ways you can track and explore them for building models better and faster.Sergey Gubanov I Lead ML Engineer at Yandex N.VHow GPT-3 like models redefine NLPDue to recent advances in language modeling, a low-cost production-quality NLP is now within reach. But if LM-based approach becomes mainstream, a typical NLP system might turn out to be quite different from end-to-end transformer systems we have now.We will discuss what modern LMs can and cannot do, the future of development and operation of NLP pipelines, and also a tiny bit of AI history. Networking over food &amp; drinks--------------------------------------------------------Spaces are limited, so sign up now!

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MLOPS EVN meetup

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MLOPS EVN meetup

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