The Long Tail of ML Deployment // Tuhin Srivastava // MLOps Podcast #161

MLOps Coffee Sessions #161 with Tuhin Srivastava, The Long Tail of ML Deployment co-hosted by Abi Aryan. This episode is brought to you by QuantumBlack. // Abstract Baseten is an engineer-first platform designed to alleviate the engineering burden for machine learning and data engineers. Tuhin's perspective, based on research with Stanford students, emphasizes the importance of engineers embracing the engineering aspects and considering them from a reproductive perspective. // Bio Tuhin Srivastava is the co-founder and CEO of Baseten. Tuhin has spent the better part of the last decade building machine learning-powered products and is currently working on empowering engineers to build production-grade services with machine learning. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links QuantumBlack: https://www.mckinsey.com/capabilities/quantumblack/contact-us

Baseten: https://www.baseten.co/ Baseten Careers: https://www.baseten.co/careers --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Abi on LinkedIn: https://www.linkedin.com/in/goabiaryan/ Connect with Tuhin on LinkedIn: https://www.linkedin.com/in/tuhin-srivastava-60601114/ Timestamps: [00:00] Partnership with QuantumBlack [00:16] Nayur Khan presenting QuantumBlack [03:35] QuantumBlack is hiring! [03:47] Tuhin's preferred coffee [05:03] Takeaways [07:00] Please share this episode with a friend! [07:12] Comments/Reviews [08:49] Tuhin's background [10:13] Finance and Law common complaint culture [11:40] Doing Machine Learning in 2010 - 2011 [14:31] Gum broad or the next company shape? [16:33] Engineers need to learn machine learning [20:18] Software engineers need to dig deeper [24:49] Cambrian Explosion [27:53] The Holy Trifecta [28:54] Objective truth and prompting [31:23] Limitations of LLMs [35:37] Documentation challenges [38:25] Baseten creating valuable models [40:37] Advocate for Microservices or API-based solution [42:54] Learning Git pains [44:16] Baseten back ups [48:00] Baseten is hiring! [49:32] Wrap up