MLOps.community MLOps Memes // Ariel Biller // MLOps Coffee Sessions #37
Coffee Sessions #37 with Ariel Biller of ClearML, MLOps Memes.
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// Abstract
The Meme king of MLOps joins us to talk about why we need more MLOps memes and how he got so damn good at being able to zoom out and see things from a metta level, then make a meme about it!
// Bio
A researcher first, developer second, in the last 5 years, Ariel worked on various projects from the realms of quantum chemistry, massively parallel supercomputing, and deep-learning computer vision. With AllegroAi, he helped build an open-source R&D platform (Allegro Trains), and later went on to lead a data-first transition for a revolutionary nanochemistry startup (StoreDot). Answering his calling to spread the word on state-of-the-art research best practices, He recently took up the mantle of Evangelist at ClearML. Ariel received his Ph.D. in Chemistry in 2014 from the Weizmann Institute of Science. With a broad experience in computational research, he made the transition to the bustling startup scene of Tel-Aviv and to cutting-edge Deep Learning research.
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Connect with Ariel on LinkedIn: https://www.linkedin.com/in/LSTMeow/
// Related Links
https://youtu.be/1C_l5ICJlEo
https://youtu.be/yTtTrwXEhN4
https://youtu.be/F4Ghp-phFuI
Timestamps:
[00:00] Introduction to Ariel Biller
[01:20] Ariel's background
[03:40] Story behind Memeing
[06:36] "Memes can be as extreme as you want because people don't know if they're going to take you seriously or you're joking."
[07:21] MLOps memes and more
[10:15] MLOps fear
[13:00] MLOps is being more complicated than DevOps.
[13:10] "A meme material is a social commentary about what there is and what there is now."
[16:00] Standardization
[18:18] "Would we have MLOps' code in a sweeping way or not?"
[18:26] "I'm not sure as a community of builders, we have the right perspective that will work for all the cases."
[20:26] Journey into evangelism
[26:45] "Feature stores are a big meme."
[27:08] "Memeing is like a muscle. If you flex it daily, it creates tensions."
[31:26] We need to de-jargonize MLOps and ML engineering
[35:55] Current Israeli tech scene
[39:16] "The deficit is that there's a limited number of people doing MLOps right now."
[43:14] Tooling space
[46:57] "Concentrate on the basic stuff that will survive forever, and if you need to reach out for a tool, don't reach out for a tool, reach out for obstruction."
[51:47] Standardization of ID Tree
[52:43] "Everybody is doing whatever they want because it works for them. Someday, someone will come out with some good obstruction and a good toolchain that works across the board that will click for everyone and will use it from that time on."
[55:20] Ecosystem support