MLOps vs ML Orchestration - Exploring Challenges and Community-Driven Development

MLOps vs ML Orchestration - Exploring Challenges and Community-Driven Development

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[] Ketan's preferred coffee

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1 of 17

[] Ketan's preferred coffee

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MLOps vs ML Orchestration - Exploring Challenges and Community-Driven Development

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  1. 1 [] Ketan's preferred coffee
  2. 2 [] Takeaways
  3. 3 [] Please like, share, and subscribe to our MLOps channels!
  4. 4 [] Shout out to Ketan and UnionAI for sponsoring this episode!
  5. 5 [] Orchestration recent changes
  6. 6 [] Community with Flyte
  7. 7 [] ML orchestration
  8. 8 [] 50/50 is generous
  9. 9 [] Real-time ML
  10. 10 [] Over engineering without benefits
  11. 11 [] Balancing everything
  12. 12 [] Union verse Flyte
  13. 13 [] High value features of Union AI at the back of Flyte
  14. 14 [] Building LLM infrastructure
  15. 15 [] Traditional ML is the whole prompting
  16. 16 [] LLMs to evaluating prompts
  17. 17 [] Wrap up

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