In this episode, I had the pleasure of speaking with Goku Mohandas, founder of Made With ML. Goku has an incredible amount of experience building and teaching the community about machine learning and MLOps systems. We dive into system thinking and solving for ML workflows, his journey in the machine learning world, and how he chooses what to learn next. We discuss the most common mistakes he's seen in productionizing ML models and why building models no one will use is not necessarily bad.   Join our Discord community: https://discord.gg/tEYvqxwhah Relevant Links:   🤩 Check out Made With ML and thank us later – https://madewithml.com/ ➡️ Goku on LinkedIn – https://www.linkedin.com/in/goku/ ➡️ Goku on Twitter – https://twitter.com/gokumohandas  🌐 Check Out Our Website! https://dagshub.com    Social Links:   ➡️ LinkedIn: https://www.linkedin.com/company/dagshub   ➡️ Twitter: https://twitter.com/TheRealDAGsHub   ➡️ Dean Pleban: https://twitter.com/DeanPlbn

Philipp Moritz and Goku Mohandas of Anyscale discuss retrieval augmented generation (RAG) systems, challenges in evaluation, labeling and classification strategies, optimizing model inference, online software stack, and hyperparameter search in evaluation runs.