In this episode, I had the pleasure of speaking with Almog Baku, a serial entrepreneur, consultant in Cloud, AI Infrastructure and Foundational models. We talk about Kubernetes, Large Language Models (LLMs), how to get them into production, and how data is becoming a more central piece of the ML landscape. We also Discuss Almog's newest project, Raptor ML, which helps ML teams productionize ML pipelines.
Watch the video: https://www.youtube.com/watch?v=DCApRXhXD_w&feature=youtu.be Join our Discord community: https://discord.gg/tEYvqxwhah
Relevant Links: π¦ Check out Raptor for ML productionization β https://github.com/raptor-ml/raptor π« Join the Open AI & Gen AI TLV meetup group β https://www.meetup.com/openai-genai-tlv/ π Read a very cool LLM paper β https://react-lm.github.io/ β‘οΈ Almog Baku on LinkedIn β https://www.linkedin.com/in/almogbaku/ β‘οΈ Almog Baku on Twitter β https://twitter.com/almogbaku Recommendation Links: Watch "Foundation" β https://tv.apple.com/us/show/foundation/umc.cmc.5983fipzqbicvrve6jdfep4x3 π Check Out Our Website! https://dagshub.com Social Links: β‘οΈ LinkedIn: https://www.linkedin.com/company/dagshub β‘οΈ Twitter: https://twitter.com/TheRealDAGsHub β‘οΈ Dean Pleban: https://twitter.com/DeanPlbn
π AI-Native with Idan Gazit β The future of AI products and interfaces + Getting AI to production
πͺ Machine Learning in the cookie-less era with Uri Goren
π°οΈ Modern & Realistic MLOps with Han-chung Lee
π©» AI in Medical Devices & Medicine with Mila Orlovsky
βͺ Making LLMs Backwards Compatible with Jason Liu
π΄ Live MLOps Podcast β Building, Deploying and Monitoring Large Language Models with Jinen Setpal
Live MLOps Podcast Episode!
βΉοΈββοΈ Large Scale Video ML at WSC Sports with Yuval Gabay
π€ GPTs & Large Language Models in production with Hamel Husain
πββοΈMoving Fast and Breaking Data with Shreya Shankar
π΄ββοΈ Quick & Dirty Machine Learning with Noa Weiss
βοΈ Building ML Teams and Platforms with Assaf Pinhasi
π¨ Stable Diffusion and generative models with David Marx
π΄π’π£Julia Language in Production with Logan Kilpatrick
π Building tools for MLOps with Guy Smoilovsky
π You Have Too Much Data with Dean Langsam
π Reasonable Scale MLOps with Jacopo Tagliabue
π¦Ύ Made With ML - Learning How to Apply MLOps with Goku Mohandas
π€ΉββοΈ Building models that actually perform with Kyle Gallatin
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