The Long Tail of ML Deployment - Challenges and Solutions

The Long Tail of ML Deployment - Challenges and Solutions

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[] Objective truth and prompting

16 of 24

16 of 24

[] Objective truth and prompting

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The Long Tail of ML Deployment - Challenges and Solutions

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  1. 1 [] Partnership with QuantumBlack
  2. 2 [] Nayur Khan presenting QuantumBlack
  3. 3 [] QuantumBlack is hiring!
  4. 4 [] Tuhin's preferred coffee
  5. 5 [] Takeaways
  6. 6 [] Please share this episode with a friend!
  7. 7 [] Comments/Reviews
  8. 8 [] Tuhin's background
  9. 9 [] Finance and Law common complaint culture
  10. 10 [] Doing Machine Learning in 2010 - 2011
  11. 11 [] Gum broad or the next company shape?
  12. 12 [] Engineers need to learn machine learning
  13. 13 [] Software engineers need to dig deeper
  14. 14 [] Cambrian Explosion
  15. 15 [] The Holy Trifecta
  16. 16 [] Objective truth and prompting
  17. 17 [] Limitations of LLMs
  18. 18 [] Documentation challenges
  19. 19 [] Baseten creating valuable models
  20. 20 [] Advocate for Microservices or API-based solution
  21. 21 [] Learning Git pains
  22. 22 [] Baseten back ups
  23. 23 [] Baseten is hiring!
  24. 24 [] Wrap up

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