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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.
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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.
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highlights
Listen to the best highlights from the podcasts you love and dive into the full episode