Feast: Feature Store for Machine Learning
Joined December 2019
- Tweets34
- Following14
- Followers250
- Likes34
Feast retweeted
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…
Feast retweeted
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
Feast retweeted
So here's what I've been building with @feast_dev and @kubeflow.
A fully open source, scalable RAG engine. 🤠
Feast retweeted
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. 🤗
Feast retweeted
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:
Feast retweeted
The Feast Community Newsletter #12!
The @feast_dev team continues to ship!
linkedin.com/pulse/feast-com…
👋👋👋
The Feast newsletter has returned!
Check out our latest announcements about our new maintainers, vector databases, community highlights, and more! 👇
docs.google.com/document/d/1…
Feast retweeted
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…
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
Feast is trending on GitHub, check it out!
github.com/trending/python
Excited to see @feast_dev the open source feature store trending on GitHub today github.com/trending/python @willpienaar 🎉
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
Feast retweeted
Building a feature store on AWS? Check out this post on running Feast on AWS with S3, Redshift, and DynamoDB aws.amazon.com/blogs/opensou…
How to use #Feast #FeatureStore and @GoogleCloudTech to design an ML data stack for fraud prediction
feast.dev/blog/machine-learn… #MLOps #MachineLearning #FraudDetection
In case you missed it...
If you missed today #applyCommunityMeetup, you can catch all the informative sessions. cc: @TectonAI @feast_dev #MLOps #MachineLearning #FeatureStore
youtu.be/pMFbRJ7AnBk
Feast retweeted
.@Shopify @mattdelacour shares how @feast_dev helped them scale and some suggestions to contribute at #applyConf #MLOps #machineLearning
Feast retweeted
.@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
Feast retweeted
.@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