MLOps.community
MLOps vs ML Orchestration // Ketan Umare // #183
Oct 20, 2023
Ketan Umare, CEO at Union.ai, discusses ML orchestration vs MLOps, prioritizing features for open-source and enterprise projects, challenges of ML orchestration, building a flexible architecture, Unionverse flight and plugin models, challenges of large language models and evaluation.
49:45
Episode guests
AI Summary
Highlights
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Prioritizing feature development between open-source projects and enterprise offerings is crucial for startups.
- Designing ML infrastructure to handle the specific requirements of large language models is a challenge in ML Ops.
Deep dives
Building a Startup and Differentiating Features
In this episode, Kaitan discusses his experience building a startup and differentiating features for flight and union. He talks about the challenges of prioritizing feature development between the open-source project and the enterprise offerings, highlighting the importance of catering to the needs of enterprises while still considering the requests from the flight community.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
