ML Scalability Challenges in Machine Learning - MLOps Coffee Session

ML Scalability Challenges in Machine Learning - MLOps Coffee Session

MLOps.community via YouTube Direct link

[] Balance between fine-tuning forces prompts engineering

10 of 20

10 of 20

[] Balance between fine-tuning forces prompts engineering

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ML Scalability Challenges in Machine Learning - MLOps Coffee Session

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  1. 1 [] Waleed's preferred coffee
  2. 2 [] Takeaways
  3. 3 [] Waleed's background
  4. 4 [] Nvidia investment with Rey
  5. 5 [] Deep Learning use cases
  6. 6 [] Infrastructure challenges
  7. 7 [] MLOps level of maturity
  8. 8 [] Scale overloading
  9. 9 [] Large Language Models
  10. 10 [] Balance between fine-tuning forces prompts engineering
  11. 11 [] Deep Learning movement
  12. 12 [] Open-source models have enough resources
  13. 13 [] Ray
  14. 14 [] Value add for any scale from Ray
  15. 15 [] "Big data is dead" reconciliation
  16. 16 [] Causality in Deep Learning
  17. 17 [] AI-assisted Apps
  18. 18 [] Ray Summit is coming up in September!
  19. 19 [] Anyscale is hiring!
  20. 20 [] Wrap up

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