🧙‍♂️ In a world where #LLMs & #PromptEngineering cast doubt on Data Scientist careers, a beacon of hope emerges: Traditional #FeatureEngineering.

Had such an awesome conversation with the one and only JosH100 ! We talked about everything from data infra at the early Slack days up to the LLM revolution!

🚨 ATTENTION: The Eagle Has Landed! 🎉 The eagerly anticipated Feature Engineering Guide Part 1 is now live on the site! 🔗 Access it here for free: qr.codes/pBSMCL #featureengineering #datascience #machinelearning #mlops #dataops #featurestores #feature #bestpractices

Last month, Simba Khadder spoke at the MLOps Community meetup in San Francisco to a packed room. It was a memorable night and for those who missed it or live on the other side of the world, here is Simba’s talk from the evening.

🥳 Excited to announce v0.9 of FeatureformML , one of our biggest releases yet! With Redis Vector Store, Embedding Support, API improvements, Expanded Compatibility, and Increased Stability, we're set to make your ML life easier! 🚀 #ml #mlops #datascience 🧵 1/n

Really cool to see our feature platform customers be able to use vectors directly This has been a shortcoming of the feature serving world now addressed by FeatureformML

🔥 EPISODE DROP: 💬 LLMs In Your SQL 🧰 , Declarative ML vs AutoML 🤖, Crabs as nature’s answer to the question “What creature represents the pinnacle of evolution?” 🦀🔪.... This episode has it all. Piero Molino (Predibase) & Simba Khadder talk about: 🧵 1/n

What it feels like to be a founder right now

I have a few invites left for our Executive Cocktail Party at Databricks #DataAISummit tomorrow at 7p. DM me for an invite!

🤩 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

🚀 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

💢😧: "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

.CMU Database Group ML⇄DB Seminar Series Video #5 — Simba Khadder (CEO) FeatureformML: Feature Store Architectures & Technical Challenges youtube.com/watch?v=ZsWa6X…

Had a ton of fun chatting with Connor Shorten on the Weaviate • vector database podcast! You can listen in to learn more about feature stores and their place in LLM-powered systems.

🚨 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

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.

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…

Getting model features into production is hard, but it doesn't have to be! 🌟

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.

Unpacking 3 Types of Feature Stores // Simba Khadder // MLOps Podcast #265: home.mlops.community/home/videos/un…