Building an ML Platform: Insights, Community, and Advocacy - MLOps Coffee Sessions

Building an ML Platform: Insights, Community, and Advocacy - MLOps Coffee Sessions

MLOps.community via YouTube Direct link

[] Incorporating LLMs into the business

13 of 20

13 of 20

[] Incorporating LLMs into the business

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Building an ML Platform: Insights, Community, and Advocacy - MLOps Coffee Sessions

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

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