Simba Khadder @simba_khadder
Building AI so I can surf more. Context Engine @Redisinc , fmr Founder & CEO @FeatureformML (acq Redis) San Francisco, CA Joined March 2017-
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Unpacking 3 Types of Feature Stores // @simba_khadder // MLOps Podcast #265: home.mlops.community/home/videos/un…
I've had like 100 companies selling AI SDRs reaching out to me, presumably using their own product. They are the most awkward pseudo-personalized cold email/LI requests. The reach-out doubles as a demo, and it's real bad. IMO, LLMs excel at augmentation, not automation.
Getting model features into production is hard, but it doesn't have to be! 🌟
Excited to announce @FeatureformML 's $5.5m seed round, bringing our total to over $8 million! 🚀 Our virtual feature store fundamentally changes how ML teams define, manage, and deploy model features. siliconangle.com/2023/12/13/fea…
Excited for our webinar TOMORROW. Now that Feast is unmaintained, many people I talk to are pondering their next steps. Whether you're actively using Feast, considering Featureform, or curious about the evolving landscape of open-source feature stores, this webinar is for you.
📅 Join us this Thursday, December 7th at 12 PM PT for "OSS Feature Store Comparison: #Featureform & #Feast", hosted by our CEO, @simba_khadder! 🎉 🔗Sign up here: buff.ly/3R5OwL6
🚨 Happening tomorrow, Nov 14th at 8 AM PT! Join us for "Building a #FeatureStore with Featureform & @databricks hosted by @simba_khadder 🎉 Learn how to define & run feature pipelines with Featureform's Python API on Databricks! Q&A to follow. 🎟buff.ly/3swgSWm
Had a ton of fun chatting with @CShorten30 on the @weaviate_io podcast! You can listen in to learn more about feature stores and their place in LLM-powered systems.
Hey everyone! I am SUPER excited to publish our 74th Weaviate Podcast featuring Simba Khadder (@simba_khadder), the CEO and Co-Founder of Featureform (@FeatureformML)!! 🎉 Simba is one of the world's experts on building distributed recommendation systems at massive scale! Simba
@andy_pavlo @CMUDB @FeatureformML Super fun, thanks for having me!
.@CMUDB ML⇄DB Seminar Series Video #5 — @simba_khadder (CEO) @FeatureformML: Feature Store Architectures & Technical Challenges youtube.com/watch?v=ZsWa6X…
@spimescape 5. Getting features in production is painful, and often requires another team. 6. Nailing down point-in-time correctness of features for training, dealing with streaming data, etc. seems impossible /end, sry for being a bit quick and unorganized with it, happy to chat more
@spimescape 3. Features are un-documented, can't be re-used or discovered, and when they are re-used upstream changes often break downstream. 4. Features have no monitoring, ACLs, single source of truth and single source of access
@spimescape featureform.com/post/feature-s… This may help, aims to break down the types of feature stores and what they do
💢😧: "I don't understand, what do you mean the features in our data warehouse aren't available for model serving & inference in prod?" #datascience #mlops #dataengineering #mlengineer #ml #dataops #featurestores
@chrisalbon I love mine. Originally only one person on our team had one, and now everyone does. It feels like a notebook except you can easily organize things. I used to bring a notebook everywhere, this replaced it. wrt iPad, it's kind of like how a Kindle and iPad have different purposes.
🚀 New Blog Alert! "Feature Versioning: A Key Ingredient To Keeping Your Data Science Projects From Going Off The Rails!" 🚂💥 We're diving deep into the world of feature versioning in #MachineLearning. Check it out here: bit.ly/3Kc3yMr Time for a 🧵! 1/7
@WilsonLimSet @FeatureformML Thanks for having me on, it was a ton of fun!
🤩 We'll also tackle how to manage features & embeddings for practical LLM use cases! 🔖 A must-attend for the following folks: - #DataScientists - #mlengineers - Anyone interested in enhancing their LLM workflows! 🔗 Be sure to RSVP Here: bit.ly/3K6oYur
@FeatureformML @AporiaAi @databricks This is gonna be a ton of fun!
I have a few invites left for our Executive Cocktail Party at Databricks #DataAISummit tomorrow at 7p. DM me for an invite!
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