MLOps.community  cover image

MLOps with Databricks // Maria Vechtomova // #314

MLOps.community

00:00

Optimizing MLflow with Databricks

This chapter explores the latest updates in MLflow, emphasizing its new features for large language models and the ease of use provided by Databricks compared to local deployments. It discusses the technical intricacies of building an efficient tech stack for machine learning, including data processing roles, optimizing performance, and addressing the complexities of data quality management. The chapter also highlights the challenges and successes of migrating to a more streamlined data infrastructure while navigating the dynamics of teamwork and communication in shared data environments.

Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner
Get the app