MLOps at the Crossroads - Challenges and Future Directions

MLOps at the Crossroads - Challenges and Future Directions

MLOps.community via YouTube Direct link

[] Takeaways

2 of 16

2 of 16

[] Takeaways

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MLOps at the Crossroads - Challenges and Future Directions

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  1. 1 [] Farhood's and Patrick's preferred coffee
  2. 2 [] Takeaways
  3. 3 [] Please like, share, and subscribe to our MLOps channels!
  4. 4 [] Strong feelings
  5. 5 [] MLOps vs DevOps Challenges
  6. 6 [] Medical setting, ML tools, NLP, model building
  7. 7 [] MLOps vs Data Engineering
  8. 8 [] MLOps Boosts LLM Development
  9. 9 [] Longtail Use Cases
  10. 10 [] Tech Roles Distinctions
  11. 11 [] Did He Say That?
  12. 12 [] Fine-tuning AI Models
  13. 13 [] ML 2.0 Advancements Explained
  14. 14 [] Generative AI in MLOps
  15. 15 [] ML Reproducibility Challenges
  16. 16 [] Wrap up

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