Simba Khadder

383 posts

Simba Khadder

Simba Khadder

@simba_khadder

Building AI so I can surf more. Context Engine @Redisinc , fmr Founder & CEO @FeatureformML (acq Redis)

San Francisco, CA เข้าร่วม Mart 2017
192 กำลังติดตาม323 ผู้ติดตาม
ทวีตที่ปักหมุด
Simba Khadder
Simba Khadder@simba_khadder·
I've seen so much success with organizations adoption feature stores. I've also seen lots of confusion. The problem is that the feature store category is broad and ill-defined. In reality, there are three types of feature stores: literal, physical, and virtual.
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Simba Khadder
Simba Khadder@simba_khadder·
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.
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Simba Khadder รีทวีตแล้ว
FeatureformML
FeatureformML@FeatureformML·
Getting model features into production is hard, but it doesn't have to be! 🌟
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Simba Khadder
Simba Khadder@simba_khadder·
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.
FeatureformML@FeatureformML

📅 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

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Simba Khadder รีทวีตแล้ว
FeatureformML
FeatureformML@FeatureformML·
🚨 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
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Simba Khadder
Simba Khadder@simba_khadder·
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.
Connor Shorten@CShorten30

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 has brought that expertise into the Featureform virtual feature store, which is packed with exciting technologies! At a high-level, "feature stores" handle the orchestration of the inputs / features given to machine learning models! There are so many interesting parts to this such as handling the continuous MLOps of data, training, deployment, and monitoring -- as well as system synchronization such as Kafka + Snowflake + S3 + @weaviate_io! ♻️🚀 Simba also presented some really interesting insights on how feature engineering works into the RAG picture! I learned so much from this conversation and I hope you enjoy the podcast! youtube.com/watch?v=fNL_fo…

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Simba Khadder
Simba Khadder@simba_khadder·
@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
Simba Khadder tweet media
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Simba Khadder
Simba Khadder@simba_khadder·
@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
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Camilla Montonen
Camilla Montonen@spimescape·
I have a problem and I think a feature store might be the solution but the with so much conflicting and confusing documentation, I am not sure
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Simba Khadder
Simba Khadder@simba_khadder·
@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.
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Simba Khadder รีทวีตแล้ว
FeatureformML
FeatureformML@FeatureformML·
🚀 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
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Simba Khadder รีทวีตแล้ว
FeatureformML
FeatureformML@FeatureformML·
🤩 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
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FeatureformML
FeatureformML@FeatureformML·
🎉 Tonight's the night! 🌟 Our invite-only cocktail hour 🍸 with our friends at @AporiaAi is all set to add a dash of sparkle to the @databricks Data + AI Summit in San Francisco 📊 Limited spots remaining- drop a comment below if you'd like an invite! 👇
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Simba Khadder
Simba Khadder@simba_khadder·
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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ค้นพบ

@FeatureformML @databricks @CShorten30 @weaviate_io @andy_pavlo @CMUDB @spimescape @chrisalbon