Feast (@feast_dev) profile picture

Feast: Feature Store for Machine Learning

Joined December 2019
Photo by Feast (@feast_dev)Photo by Feast (@feast_dev)Photo by Feast (@feast_dev)
Looking for a *fast* feature store? Take a look at @ScyllaDB feature-store.scylladb.com/s… and the @feast_dev integration docs.feast.dev/reference/onl…
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I am so excited to help lead the @Kubeflow community! I wanted to share my goals with everyone about what I hope to accomplish with both Kubeflow and @Feast_dev. If you're building in AI and want to use open source, let's connect! teapawt.net/franciscojarceo/status…
🚀 Exciting news from the Kubeflow community! Welcome @franciscojarceo & @KohoutVon to the #Kubeflow Steering Committee! 🎉 Huge thanks to @MathewWicks @bottum_josh & James Wu for their leadership & dedication. Original Announcement: groups.google.com/g/kubeflow… #OpenSource #AI
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So here's what I've been building with @feast_dev and @kubeflow. A fully open source, scalable RAG engine. 🤠
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If you're interested in building the foundational AI layer for agents on top of open source, reach out to me. At @feast_dev we're building the open source RAG engine. 🤗
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Getting to use Devin to building the foundations for AI on @feast_dev is both meta and awesome. 🔥 Thank you @cognition_labs and team for access!
Announcing: The Devin Open Source Initiative! We’re now providing 500 free Devin Agent Compute Units each to a limited number of open-source projects. If you’re a maintainer of an open-source project, reach out at [email protected]. Below are some OSS contributions Devin has already helped to make:
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Exciting update for @feast_dev users. 🚀 RAG with Feast in 5 lines of code! 🤯
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Very excited to share that I'm officially one of the new maintainers for the best Open Source Feature Store framework for Machine Learning @feast_dev. 🤠 feast.dev/blog/the-future-of…
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It's landed! @feast_dev now has a first-class integration for @SnowflakeDB! Check it out!
🎉 We’re excited to announce an integration w/ @TectonAI's enterprise feature store & Feast. Available in preview to all Snowflake customers on #AWS, you can now store, process & manage the complete lifecycle of #ML features for production in Snowflake okt.to/MIpVzu
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Check out how this @arizeai and @feast_dev integration makes building reliable data systems a lot easier!
📣 Getting machine learning to work in production is not the same as getting it to work in notebooks. Our new integration with Feast, the leading feature store from @Tecton, supercharges feature management and model monitoring for MLOps. Learn more 👇 bit.ly/3D0Q3K5
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Learn how @flyteorg & @feast_dev can help users take their models from prototyping to production in a cost-effective and efficient manner at #OSPOCon. "Self-serve Feature Engineering Platform Using Flyte and Feast" Tuesday, September 28 • 5:00pm - 5:50pm #Flyte #AI #ML #DL
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.@Shopify @mattdelacour shares how @feast_dev helped them scale and some suggestions to contribute at #applyConf #MLOps #machineLearning
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.@TectonAI's @willpienaar & creator of @feast_dev demos at #applyConf how #Feast 0.12 new support for @awscloud Redshift & DynamicDB & Feature Service can be easily used. #MLOps #machineLearning #FeatureStore
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.@RobinhoodApp's Rand) Xie explains in technical details how & why they use @feast_dev in their production at @applyConf #MLOps #MachineLearning
.@RobinhoodApp's Rand) Xie explains in technical details how & why they use @feast_dev in their production at @applyConf #MLOps #MachineLearning