Today, global MLOps community leader Demetrios Brinkmann details why MLOps is essential, how it differs from related roles like LLMOps, DevOps and A.I. Engineering, and the best tools for deploying and scaling LLMs.
Demetrios:
• Is Founder and CEO of MLOps Community, an organization dedicated to supporting MLOps professionals that has quickly grown to over 20,000 members.
• Was previously founder of the Data on Kubernetes community.
• Before that, worked in public-facing roles at a number of European tech startups.
Today’s episode will be of interest to anyone who’s keen to better understand the critical function of MLOps in bringing machine learning models to the real world.
In today’s episode, Demetrios details:
• What exactly MLOps is and how it relates to other jobs like LLMOps, DevOps and A.I. Engineer.
• The key MLOps tools and approaches.
• What it takes to build a thriving community of tens of thousands of professionals in just a few years.
The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.