We are excited to feature our first academic on the pod! I first came across Shreya when her tweetstorm of MLOps principles went viral:Shreya’s holistic approach to production grade machine learning has taken her from Stanford to Facebook and Google Brain, being the first ML Engineer at Viaduct, and now a PhD in Databases (trust us, its relevant) at UC Berkeley with the new EPIC Data Lab. If you know Berkeley’s history in turning cutting edge research into gamechanging startups, you should be as excited as we are!Recorded in-person at the beautiful StudioPod studios in San Francisco.Full transcript is below the fold.Edit from the future: Shreya obliged us with another round of LLMOps hot takes after the pod!Other Links* Shreya’s About: https://www.shreya-shankar.com/about/* Berkeley Sky Computing Lab - Utility Computing for the Cloud* Berkeley Epic Data Lab - low-code and no-code interfaces for data work, powered by next-generation predictive programming techniques* Shreya’s ML Principles * Grounded Theory* Lightning Round:* Favorite AI Product: Stability Dreamstudio* 1 Year Prediction: Data management platforms* Request for startup: Design system generator* Takeaway: It’s not a fad!Timestamps* [00:00:27] Introducing Shreya (poorly)* [00:03:38] The 3 V's of ML development* [00:05:45] Bridging Development and Production* [00:08:40] Preventing Data Leakage* [00:10:31] Berkeley's Unique Research Lab Culture* [00:11:53] From Static to Dynamically Updated Data* [00:12:55] Models as views on Data* [00:15:03] Principle: Version everything you do* [00:16:30] Principle: Always validate your data* [00:18:33] Heuristics for Model Architecture Selection* [00:20:36] The LLMOps Stack* [00:22:50] Shadow Models* [00:23:53] Keeping Up With Research* [00:26:10] Grounded Theory Research* [00:27:59] Google Brain vs Academia* [00:31:41] Advice for New Grads* [00:32:59] Helping Minorities in CS* [00:35:06] Lightning RoundTranscript[00:00:00] Hey everyone. Welcome to the Latent Space podcast. This is Alessio partner and CTM residence at Decibel Partners. I'm joined by my co-host, swyx writer and editor of Latent Space. Yeah,[00:00:21] it's awesome to have another awesome guest Shankar. Welcome .[00:00:25] Thanks for having me. I'm super excited.[00:00:27] Introducing Shreya (poorly)[00:00:27] So I'll intro your formal background and then you can fill in the blanks.[00:00:31] You are a bsms and then PhD at, in, in Computer Science at Stanford. So[00:00:36] I'm, I'm a PhD at Berkeley. Ah, Berkeley. I'm sorry. Oops. . No, it's okay. Everything's the bay shouldn't say that. Everybody, somebody is gonna get mad, but . Lived here for eight years now. So[00:00:50] and then intern at, Google Machine learning learning engineer at Viaduct, an OEM manufacturer, uh, or via OEM analytics platform.[00:00:59] Yes. And now you're an e I R entrepreneur in residence at Amplify.[00:01:02] I think that's on hold a little bit as I'm doing my PhD. It's a very unofficial title, but it sounds fancy on paper when you say[00:01:09] it out loud. Yeah, it is fancy. Well, so that is what people see on your LinkedIn. What's, what should, what should people know about you that's not on your LinkedIn?[00:01:16] Yeah, I don't think I updated my LinkedIn since I started the PhD, so, I'm doing my PhD in databases. It is not AI machine learning, but I work on data management for building AI and ML powered software. I guess like all of my personal interests, I'm super into going for walks, hiking, love, trying coffee in the Bay area.[00:01:42] I recently, I've been getting into cooking a lot. Mm-hmm. , so what kind of cooking? Ooh. I feel like I really like pastas. But that's because I love carbs. So , I don't know if it's the pasta as much as it's the carb. Do you ever cook for[00:01:56] like large[00:01:57] dinners? Large groups? Yeah. We just hosted about like 25 people a couple weeks ago, and I was super ambitious.[00:02:04] I was like, I'm gonna cook for everyone, like a full dinn