Completed
[] Data platform underneath
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Classroom Contents
Building an ML Platform: Insights, Community, and Advocacy - MLOps Coffee Sessions
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- 1 [] Stephen's preferred coffee
- 2 [] Takeaways
- 3 [] Please like, share, and subscribe to our MLOps channels!
- 4 [] Creating his own team!
- 5 [] DevRel
- 6 [] The door dash of Europe
- 7 [] Data platform underneath
- 8 [] Cellular core deployment uses open source
- 9 [] Alibi
- 10 [] Kafka
- 11 [] Selling points to data scientists
- 12 [] Language models concerns of data scientists
- 13 [] Incorporating LLMs into the business
- 14 [] Feedback from data scientists and end users
- 15 [] User surveys
- 16 [] Evangelizing and giving talks
- 17 [] Tech Hub Culture in Berlin
- 18 [] Kubernetes lifestyle
- 19 [] Interacting with SREs
- 20 [] Wrap up